JP2000013604A - Image processor and storage medium stored with control procedure of image processor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To surely acquire an image that is subjected to defect correction of a transmission original by executing correction processing of a visible component level in a 1st area and a visible component level in a 2nd area by using a correction coefficient calculated by a correction coefficient operating means in common. SOLUTION: Correction processing of a visible component level in a 1st are a which is a part of a transmission original surface and a visible component level in a 2nd area that is different from the 1st area is carried out by using a correction coefficient calculated by a correction coefficient operating means in common. In this device, a host computer 1 decides whether or not defects such as dust, dirt, scratch and fingerprint exist on a film original 26 from IR image data at the time of performing operation processing of fetched digital image data. And when the computer 1 detects the existence of a defect, it corrects R image data, G image data and B image data of a place where the defect exists by using an IR image.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] 1. Field of the Invention [0002] The present invention relates to an image processing apparatus for detecting an image of a transparent original and performing image processing, and a storage medium for storing a control procedure of the image processing apparatus.

[0002]

2. Description of the Related Art An image processing apparatus for reading image information of a transparent original includes a host computer such as a so-called personal computer,
It is composed of an image reading device as an input device of the host computer. By the way, reading of a color image is generally performed by switching between three colors of red (R), green (G), and blue (B). If they do, they appear as black points (for positive films) or white points (for negative films) on the read image, degrading the image quality.

In view of the above, there has been proposed a technique for detecting defects such as dust, dust, scratches, and fingerprints on a film original by utilizing the characteristics of infrared light and correcting the influence of the defects (for example, Japanese Patent Application Laid-Open No. H10-163,873). No. 2559970). That is, in this patent publication, when the detected infrared energy distribution intensity is larger than a predetermined threshold, the visible light energy distribution intensity is increased to a level that cancels the infrared energy distribution intensity, and the detected infrared energy distribution intensity is increased. Is smaller than or equal to a predetermined threshold, a technique is disclosed in which the intensity of the visible light energy distribution is corrected by an interpolation method to correct the influence of a defect.

[0004]

However, the above-mentioned patent publication merely conceptually shows a technique for correcting the influence of a defect using infrared rays, and obtains an image in which the influence of the defect is corrected. Is difficult. SUMMARY An advantage of some aspects of the invention is to provide an image processing apparatus capable of reliably acquiring an image in which the influence of a defect of a transparent original has been corrected, and a storage medium that stores a control procedure of the image processing apparatus.

[0005]

According to the present invention, there is provided the following apparatus and storage medium. The apparatus according to claim 1, wherein an infrared component decomposing unit that decomposes a color component of the image of the transparent original into an infrared component, an infrared component detecting unit that detects an infrared component level of the decomposed infrared component, Correction coefficient calculating means for obtaining a correction coefficient based on the infrared component level, visible component decomposing means for decomposing a color component of the image of the transparent document into visible components, and a visible component level of the decomposed visible component. A visible component detecting means for detecting, a first visible component selecting means for selecting the visible component corresponding to a first region which is a part of the surface of the transparent document, and a part of the surface of the transparent document, A second visible component selection unit that selects the visible component corresponding to a second region different from the first region; and a second visible component level in the first region and a second visible component level in the second region. Correction coefficient operator It was to have a correction unit for performing a correction process by using a common correction coefficient obtained by.

According to a second aspect of the present invention, in the image processing apparatus of the first aspect, the correction coefficient calculating means obtains the correction coefficient based on an average value of the infrared component level. According to a third aspect of the present invention, in the image processing apparatus according to the second aspect, the correction coefficient calculating means is configured to calculate (average value of infrared component level) / (corrected symmetric pixel) based on the average value of the infrared component level. (Infrared component level) is calculated to obtain the correction coefficient.

According to a fourth aspect of the present invention, in the image processing apparatus of the second aspect, the apparatus further comprises an infrared component selecting means for selecting only the infrared component level equal to or larger than a threshold value, and wherein the correction coefficient calculating means comprises: An average value of the infrared component level selected by the infrared component selection means is calculated, and the correction coefficient is determined based on the calculated average value.

According to a fifth aspect of the present invention, in the image processing apparatus according to the first aspect, the correction coefficient calculating means determines a most frequent infrared component level corresponding to a most frequent one of the infrared component levels. Based on this, the correction coefficient was determined. According to a sixth aspect of the present invention, in the image processing apparatus according to the fifth aspect, the correction coefficient calculating means calculates (most frequently used infrared component level) /
(The infrared component level of the corrected symmetric pixel) is calculated to obtain the correction coefficient.

In the image processing apparatus according to the present invention, preferably, the judging means judges whether or not the calculation of the correction coefficient for the transparent original has been completed, and the judging means calculates the correction coefficient. And calculating control means for causing the correction coefficient calculating means to start the calculation based on the determination of the non-completion.

An apparatus according to an eighth aspect of the present invention is the image processing apparatus according to the seventh aspect, further comprising document detection means for detecting that the transparent document has been inserted into the image processing apparatus, and the arithmetic control means. Indicates that the calculation is not completed based on the document insertion detection by the document detecting means.

According to a ninth aspect of the present invention, there is provided an infrared component decomposing means for decomposing a color component of an image of a transparent original into an infrared component, and an infrared component detecting means for detecting an infrared component level of the decomposed infrared component. Means, a correction coefficient calculating means for calculating a correction coefficient based on the average value of the infrared component level, and a visible component decomposing means for decomposing the color components of the image of the transparent document into visible components,
A visible component detecting unit that detects a visible component level of the decomposed visible component, and a correcting unit that performs a correction process on the visible component level by using the correction coefficient obtained by the correction coefficient calculating unit. And

According to a tenth aspect of the present invention, in the image processing apparatus according to the ninth aspect, the correction coefficient calculating means is configured to calculate (the average value of the infrared component levels) / ( The correction coefficient is obtained by calculating an infrared component level of the corrected symmetric pixel). 12. The image processing apparatus according to claim 9, further comprising an infrared component selection unit that selects only the infrared component level equal to or greater than a threshold value, wherein the correction coefficient calculation unit includes the infrared component. An average value of the infrared component levels selected by the selection means is calculated, and the correction coefficient is determined based on the calculated average value.

According to a twelfth aspect of the present invention, an infrared component decomposing means for decomposing a color component of an image of a transparent original into an infrared component, and an infrared component detecting means for detecting the level of the decomposed infrared component Means, a correction coefficient calculating means for calculating the correction coefficient based on a most frequent infrared component level corresponding to the most frequent infrared component level, and a color component of the image of the transparent document which is visible. Visible component decomposition means for decomposing into components, visible component detection means for detecting the visible component level of the decomposed visible component, and for the visible component level,
Correction means for executing a correction process by using the correction coefficient obtained by the correction coefficient calculation means.

According to a thirteenth aspect of the present invention, in the image processing apparatus according to the twelfth aspect, the correction coefficient calculating means is based on the most frequent infrared component level (most frequent infrared component level) / (correction symmetry). The correction coefficient is determined by calculating the infrared component level of the pixel. The apparatus according to claim 14, wherein infrared component decomposing means for decomposing a color component of the image of the transparent document into infrared components, infrared component detecting means for detecting an infrared component level of the decomposed infrared component, Correction coefficient calculating means for obtaining the correction coefficient based on the infrared component level; determining means for determining whether the calculation of the correction coefficient for the transparent document has been completed; and determining the correction coefficient by the determining means. Calculation control means for causing the correction coefficient calculation means to start calculation based on judging unfinished, visible component decomposing means for decomposing a color component of the image of the transparent document into visible components, and A visible component detecting means for detecting a visible component level of a component, and a correction means for executing a correction process on the visible component level by using the correction coefficient obtained by the correction coefficient calculating means. It was decided to have a door.

[0015] The apparatus according to claim 15 is the image processing apparatus according to claim 14, further comprising document detection means for detecting that the transparent document has been inserted into the image processing device,
The calculation control means determines that the calculation is not completed based on the document insertion detection by the document detection means.

A storage medium according to a sixteenth aspect of the present invention is an infrared component decomposing means for decomposing a color component of an image of a transparent original into an infrared component, and an infrared component detecting the level of the decomposed infrared component. A control procedure of an image processing apparatus comprising: a detecting unit; a visible component decomposing unit that decomposes a color component of an image of the transparent document into a visible component; and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculating procedure for obtaining a correction coefficient based on the infrared component level, and selecting the visible component corresponding to a first area which is a part of the surface of the transparent document. A first visible component selecting step, a second visible component selecting step of selecting the visible component corresponding to a second area that is a part of the surface of the transparent original and is different from the first area, Visible component level Against a visible component level at the second region, it was decided to store the correction procedure for performing the correction process by using the correction coefficients calculated by the correction coefficient calculation procedures in common.

A storage medium according to a seventeenth aspect of the present invention is the storage medium for storing a control procedure of the image processing apparatus according to the sixteenth aspect, wherein the correction coefficient calculation procedure is performed based on an average value of the infrared component level. Procedures for obtaining coefficients were included. The storage medium according to claim 18 is a storage medium storing a control procedure of the image processing apparatus according to claim 17, wherein the correction coefficient calculation procedure is based on an average value of the infrared component level. (Average value of the correction component) / (infrared component level of the correction symmetric pixel).

A storage medium according to a nineteenth aspect of the present invention is the storage medium according to the seventeenth aspect, further comprising an infrared component selecting procedure for selecting only an infrared component level equal to or greater than a threshold value. The correction coefficient calculation step includes a step of calculating an average value of the infrared component levels selected in the infrared component selection step, and obtaining the correction coefficient based on the calculated average value.

A storage medium according to a twentieth aspect of the present invention is the storage medium for storing a control procedure of the image processing apparatus according to the sixteenth aspect, wherein the correction coefficient calculation procedure is performed at a most frequent level among the infrared component levels. A procedure for obtaining the correction coefficient based on the corresponding most frequent infrared component level is included.

A storage medium according to a twenty-first aspect of the present invention is the storage medium for storing a control procedure of the image processing apparatus according to the twentieth aspect, wherein the correction coefficient calculation procedure is performed based on the most frequent infrared component level. A procedure for calculating the correction coefficient by calculating (infrared component level) / (infrared component level of corrected symmetric pixel) is included.

A storage medium according to a twenty-second aspect of the present invention is a storage medium for storing a control procedure of the image processing apparatus according to the sixteenth aspect, wherein a determination step for determining whether the calculation of the correction coefficient for the transparent original has been completed, A calculation control procedure for starting the calculation of the correction coefficient calculation procedure based on the determination that the calculation of the correction coefficient has not been completed by the determination procedure is further stored.

A storage medium according to a twenty-third aspect is a storage medium for storing a control procedure of the image processing apparatus according to the twenty-second aspect, wherein the image processing apparatus has the transparent original inserted into the image processing apparatus. The arithmetic control procedure further includes a step of determining that the calculation has not been completed based on the document insertion detection of the original detecting means.

[0023] The storage medium according to claim 24, wherein the infrared component decomposing means for decomposing the color component of the image of the transparent original into an infrared component, and an infrared component for detecting the level of the decomposed infrared component. A control procedure of an image processing apparatus comprising: a detecting unit; a visible component decomposing unit that decomposes a color component of an image of the transparent document into a visible component; and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on the average value of the infrared component level, and the correction coefficient calculated in the correction coefficient calculation procedure for the visible component level. The correction procedure for executing the correction process by using the coefficient is stored.

According to a twenty-fifth aspect of the present invention, in the storage medium for storing the control procedure of the image processing apparatus according to the twenty-fourth aspect, the correction coefficient calculation procedure is performed based on an average value of the infrared component level. A procedure for calculating the correction coefficient by calculating (average value of external component level) / (infrared component level of corrected symmetric pixel) is included.

A storage medium according to a twenty-sixth aspect of the present invention is the storage medium according to the twenty-fourth aspect, further comprising an infrared component selecting procedure for selecting only the infrared component level equal to or higher than a threshold value. The correction coefficient calculation procedure includes:
The method includes a step of calculating an average value of the infrared component level selected in the infrared component selection procedure, and calculating the correction coefficient based on the calculated average value.

The storage medium according to claim 27, wherein the infrared component decomposing means for decomposing the color component of the image of the transparent original into an infrared component, and the infrared component detecting the level of the decomposed infrared component. A control procedure of an image processing apparatus comprising: a detecting unit; a visible component decomposing unit that decomposes a color component of an image of the transparent document into a visible component; and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on the most frequent infrared component level corresponding to the most frequent level of the infrared component levels; and On the other hand, a correction procedure for executing a correction process by using the correction coefficient obtained in the correction coefficient calculation procedure is stored.

A storage medium according to a twenty-eighth aspect of the present invention is the storage medium for storing a control procedure of the image processing apparatus according to the twenty-seventh aspect, wherein the correction coefficient calculation procedure is performed based on the most frequent infrared component level. A procedure for calculating the correction coefficient by calculating (infrared component level) / (infrared component level of corrected symmetric pixel) is included.

An infrared component decomposing means for decomposing a color component of an image of a transparent original into an infrared component, and an infrared component for detecting the level of the decomposed infrared component. A control procedure of an image processing apparatus comprising: a detecting unit; a visible component decomposing unit that decomposes a color component of an image of the transparent document into a visible component; and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on the infrared component level; a determination step for determining whether the calculation of the correction coefficient for the transparent original has been completed; and A calculation control procedure for starting the calculation according to the correction coefficient calculation procedure based on a determination that the calculation of the correction coefficient has not been completed in the determination procedure; and It was decided to store the correction procedure for performing the correction process by using the correction coefficients calculated in the coefficient calculating step.

A storage medium according to claim 30 is a storage medium for storing a control procedure of the image processing apparatus according to claim 29, wherein the image processing apparatus has the transparent document inserted into the image processing apparatus. And the calculation control procedure includes a step of determining that calculation has not been completed based on document insertion detection by the document detection means.

[0030]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram of the image processing apparatus. FIG. 2 is a diagram showing the state of the film document arrangement. The image processing device includes a host computer 1 and an image reading device 2. The host computer 1
Central processing unit (hereinafter referred to as "CPU") 1a, memory 1
b, HDD (Hard Disk Drive) 1c. Also, the host computer 1 has a CD-ROM
3 is provided with a CD-ROM drive. C
The D-ROM is a storage medium in which various programs and data are stored. Although not shown, the host computer 1 includes an input device such as a keyboard and a mouse, a display device, and the like.

The image reading device 2 includes a CPU 11, a motor drive circuit 12, a motor drive circuit 28, and an LED drive circuit 1.
3. Signal processing circuit 14, ROM 15, RAM 16, interface circuit (hereinafter referred to as "I / F circuit") 17, line sensor 18, A / D converter 19, sub-scanning mechanism motor 20, focus adjustment motor 27, illumination device 21 , A reflection mirror 22, a reflection mirror 23, a toric mirror 24, a lens 25, and a transport path for the film original 26. The image reading device 2 is connected to the host computer 1 via the I / F circuit 17.

The CPU 11 is a circuit for controlling each part and executing arithmetic processing. The lighting device 21 is an R-LED, GL
A plurality of EDs, B-color LEDs, and IR-LEDs are arranged. The R-LED is a light-emitting diode that emits red wavelength light (R light). The G-LED is a light emitting diode that emits light of a green wavelength (G light). B-LE
D is a light emitting diode that emits blue wavelength light (B light). An IR-LED is a light emitting diode that emits light of an infrared wavelength (IR light). The LED drive circuit 13 is a circuit that drives the lighting device 21. L of each color of the lighting device 21
The ED emits light in response to a drive signal from the LED drive circuit 13.

The light emitted from the illumination device 21 is reflected by the toric mirror 24 and the reflection mirror 22, and irradiates the illumination position P with light. Then, the film original 26 located at the illumination position P is illuminated in a line shape. As shown in FIG. 2, the film original 26 is a film original section 26a.
And a film mount 26b. The film original 26a is a 35 mm photographic film. The film mount section 2 holds the film original section 26a.
It is a plate. The document holding table 32 is a table for holding the film document 26. The film pressing spring 33 is a leaf spring that urges the film document 26 toward the document holding table 32.

An imaging optical system is formed by the reflection mirror 23 and the lens 25. The reflection mirror 23 is a mirror for bending the optical path of the light transmitted through the film original 26 toward the lens 25. In other words, the reflection mirror 23 bends the optical axis 35 of the lens 25. The lens 25 forms an image of the portion of the film original 26 at the illumination position P on the line sensor 18.

The line sensor 18 has a plurality of photoelectric conversion units and a plurality of charge transfer units. The photoelectric conversion units are arranged in a line. The charge transfer section is also arranged in a line parallel to the photoelectric conversion section. The direction of this line will be referred to as the main scanning direction. In FIG. 1, the main scanning direction is a direction perpendicular to the paper surface. The photoelectric conversion unit includes a CPU 11
Is converted to an analog image signal having a voltage substantially proportional to the amount of received light. The analog image signal is output to the A / D converter 19 by the charge transfer unit. Note that the accumulation time of the photoelectric conversion unit of the line sensor 18 may be controlled by the illumination time of the illumination device 21.

The A / D converter 19 converts the input analog image signal into digital image data,
4 is output. The A / D converter 19 is an 8-bit A / D converter. Therefore, the A / D converter 19 sets the minimum value to 0.
Thus, digital values of all 256 gradations with a maximum value of 255 can be output. Note that the value of the digital image data is called a luminance level. The film original 26 is separated into colors illuminated by the illumination device 21. The digital image data obtained when illuminating the R light is referred to as R image data. Digital image data obtained at the time of G light illumination is referred to as G image data. Digital image data obtained at the time of B light illumination is referred to as B image data. Digital image data obtained at the time of IR light illumination is referred to as IR image data.

The luminance level of the R image data is called an R luminance level. The luminance level of the G image data is called a G luminance level. The luminance level of the B image data is referred to as a B luminance level. The luminance level of the IR image data is called an IR luminance level. The signal processing circuit 14 executes digital image data processing based on a command from the CPU 11. The processed digital image data is stored in the RAM 16. ROM 15 is CPU 11
Is stored. This program will be described later in detail.

The I / F circuit 17 is connected to the host computer 1
Interface circuit for communicating with the I / F
The circuit 17 is controlled by the RAM 16 based on a command from the CPU 11.
Is output to the host computer 1. Further, the I / F circuit 17 receives a command from the host computer 1 and sends the command to the CPU 11.
Further, the I / F circuit 17 transfers the status of the scanner output from the CPU 11 and the like to the host computer 1.

The sub-scanning mechanism 29 is a mechanism for moving the document holding table 32 in the sub-scanning direction. The sub-scanning direction is a direction perpendicular to the main scanning direction. The sub-scanning direction is the same as the lens 25.
Of the optical axis 35 of FIG. In FIG. 1, the sub-scanning direction is the horizontal direction on the paper surface. The sub-scanning mechanism 29 is configured by a gear train. The motor drive circuit 12 outputs a motor drive signal to the sub-scanning mechanism motor 20 based on a command from the CPU 11. The motor drive signal is a signal indicating the direction and amount of rotation of the sub-scanning mechanism motor 20. The sub-scanning mechanism motor 20 drives the sub-scanning mechanism 29 based on a motor drive signal.

The focus adjusting mechanism 30 is a mechanism for moving the document holding table 32 in the focus adjusting direction. Here, the focus adjustment direction refers to the optical axis (see FIG.
In the vertical direction of the drawing). The focus adjustment mechanism 30 is configured by a gear train. The motor drive circuit 28 has a CP
A motor drive signal is output to the focus adjustment motor 27 based on the command from U11. The motor drive signal is a signal indicating the rotation direction and the rotation amount of the focus adjustment motor 27. The focus adjustment motor 27 controls the focus adjustment mechanism 3 based on the motor drive signal.
Drive 0.

When performing arithmetic processing on the captured digital image data, the host computer 1 determines from the IR image data whether or not the film original 26 has a defect such as dust, dust, a scratch, or a fingerprint. And the host computer 1
Detects the presence of a defect, corrects the R image data, the G image data, and the B image data at the location where the defect exists using the IR image data. It should be noted that this correction process is based on CP
It can also be performed on the U11 side.

Hereinafter, a method of detecting whether or not the film original 26 is mounted on the image reading apparatus 2 will be described with reference to FIGS. 2, 3 and 4. 3 and 4 show a CPU.
11 is a flowchart illustrating a document detection processing procedure performed by an image processing apparatus 11; 3 and 4 are stored in the ROM 15. FIG. 2 shows that the film original 26 is
2 shows a state in which they are arranged.

In the state where the image reading operation is not performed,
The document holding table 32 is arranged at a specific position. In the standby state, the image reading device 2 periodically
8 reads one line of the image and compares the luminance level of the digital image data with a predetermined threshold L3.
The threshold value L3 is set to a value that can determine whether or not the film original 26 is loaded.

The specific position is a position corresponding to either the film mount 26b or the original 26a when the film original 26 is mounted. For example, the specific position is a position where the position X1 shown in FIG. Therefore, when the film original 26 is not loaded, the specific position is optically transparent.

The CPU 11 sets the accumulation time of the line sensor 18 so that the output of the A / D converter 19 becomes a full scale value in an optically transparent state. When the line sensor 18 is located at a position corresponding to the film mount section 26b or the film original section 26a, the amount of light received by the line sensor 18 is blocked by the film mount section 26b or the film original section 26a. Also decrease. As a result, the output of the A / D converter 19 decreases. The degree of the output decrease of the A / D converter 19 is as follows.
It depends on what blocks the line sensor 18. For example, when the film mount portion 26b blocks, the light is completely shielded, and the output of the A / D converter 19 has the lowest value.
In this embodiment, when the line sensor 18 is completely shielded from light, the A / D converter 19 outputs 0 so that
The reference voltage of the A / D converter 19 is set. By doing so, the output range of the A / D converter 19 can be used effectively.

When the film original section 26a blocks,
Since the amount of transmitted light changes according to the density of the film original section 26a, the output of the A / D converter 19 changes according to the density of the film original. The density of the film is the lowest in the base portion of the reversal film, and the amount of transmitted light is about 90% when passed through. Therefore, the threshold value L3 in the present embodiment is set to an output level corresponding to about 95% of the time of the normal operation, with a margin.

The flowchart shown in FIG. 3 starts when the power of the image reading device 2 is turned on. In S1, the CPU 11 drives the sub-scanning mechanism motor 20 to
The X0 line on the document holder 32 is moved to the illumination position P.
In this case, the light from the illuminating device 21 is
Irrespective of whether or not is loaded, it passes through the transparent portion 34 and reaches the line sensor 18.

In S2, the CPU 11 controls the line sensor 18 to read one line based on the accumulation time T '. The output value of the A / D converter 19 at that time is L
Assume that Next, the CPU 11 controls the A / D converter 19
The accumulation time T of the line sensor 18 at which the output of the line sensor 18 becomes full scale is obtained. Specifically, it is obtained by the following equation. T = T ′ × (255 / L) In S3, the CPU 11 drives the sub-scanning mechanism motor 20 to move the X1 line of the document holding table 32 to the illumination position P.

In S4, the CPU 11 controls the line sensor 18 to read one line for the accumulation time T. In S5, the CPU 11 obtains an output average value L1 of all pixels of one line in the line sensor 18. In S6, the CPU 11 compares the average value L1 obtained in S5 with a threshold L3 prepared in advance.

In S7, as a result of the comparison in S6, the CPU 11 advances the processing to S8 if the average value L1 is larger than the threshold L3, and advances to S9 if the average value L1 is equal to or less than L3. In S8, the CPU 11 sets the flag F1 provided on the RAM 16 to 0, and advances the processing to S10. Flag F1
Is a flag for storing whether or not the film original 26 is loaded. The fact that the flag F1 is 0 means that the film original 26 is not loaded. Flag F
That 1 is 1 means that the film original 26 is loaded.

In S9, the CPU 11 sets the flag F1
Is set to 1, and the process proceeds to S10. In S10, C
After resetting the elapsed time, the PU 11 starts measuring the elapsed time. The elapsed time is measured by a timer in the CPU 11. In S11 shown in FIG.
Determines that the command has been received from the host computer 1, the process proceeds to S13. If the CPU 11 determines that there is no command from the host computer 1, the process proceeds to S12.

In S12, if the CPU 11 determines that the time at which measurement was started in S10 has reached a predetermined time, the process returns to S3. If the elapsed time has not reached the predetermined time, the CPU 11 returns the process to step 11. Here, the predetermined time is set based on a standard time from when the user takes out the film original 26 from the image reading device 2 and inserts it again, and a time shorter than this standard is set. The CPU 11 sets, for example, about 2 seconds as the elapsed time.

In S13, when the CPU 11 determines that the command from the host computer 1 is the presence or absence of the film original 26, the process proceeds to S16. CPU
If it is determined that there is no film original 26 loaded, the process proceeds to S14. In S14, the CPU
11 analyzes a command from the host computer 1.
Then, in S15, a process according to the command is executed.
This processing includes image reading and the like. C
After ending the processing in S15, the PU 11 executes the processing in S1.
Return to 1.

In S16, the CPU 11 sets the flag F
If it is determined that 1 is 0, the process proceeds to S17.
When the flag F1 is 1, the CPU 11 advances the processing to S18. In S17, the CPU 11 transmits to the host computer 1 that the film original 26 is not loaded, and advances the processing to S19.

In S18, the CPU 11 transmits to the host computer 1 that the film original 26 is loaded, and advances the processing to S19. In S19, the CP
If U11 determines that the power of the image reading device 2 has been turned off, the flowchart ends. The CPU 11
Determines that the power of the image reading device 2 has not been turned off, returns the process to S11.

Hereinafter, the correction processing of the first embodiment will be described with reference to FIGS. FIG. 5 is a diagram for explaining digital image data. 6 and 7 are explanatory diagrams of the principle of the correction processing of digital image data. 8 to 17
5 is a flowchart showing a correction processing procedure of the host computer. 18 to 21 are explanatory diagrams of the alignment. 22 to 25 are flowcharts showing the processing procedure of the CPU 11.

The principle of the digital image data correction process will be described with reference to FIGS. In the image reading of the film original 26, a line-sequential method in which reading is performed by switching four colors for each line, and reading of the entire one screen by one color, and then reading the entire one screen by changing colors is performed in four ways. There is a frame sequential method that performs color. Regardless of the method,
The RAM 16 stores four types of data: R image data, G image data, B image data, and IR image data.

The four types of data have the following differences. The R image data, the G image data, and the B image data relating to the visible light correspond to the red (R) component, the green (G) component, and the blue (B) component of the film original 26, respectively. That is, R image data, G
Each data of the image data and the B image data indicates luminance information related to the density of the film original 26. That is, the higher the density of the film original 26, the lower the light transmission. Therefore, the value (luminance level) of the digital image data becomes small. Conversely, film manuscript 2
In 6, the lower the density, the more light is transmitted. Therefore, the value (luminance level) of the digital image data increases.

FIG. 5A shows that the dust 70
It shows the appearance with. FIG. 5 (b)
The digital image data regarding the visible light of the film original 26 is shown on a display. FIG.
(C) shows the distribution of the luminance level of the digital image data in the Xm line. Dust 70 adheres to the Xm line of the film original 26. Therefore, as shown in FIG. 5B, the digital image data is affected. This is because the illumination light is blocked by the dust 70 on the film original 26. Therefore, the amount of light reaching the line sensor 18 decreases. Therefore, the digital image data in the portion where dust or the like exists indicates that the film original 26 has a high density. That is, as shown in FIG. 5C, a digital image data reduction section 40 occurs.

At the position of the line sensor 18 corresponding to the peripheral position of the dust, the amount of light reaching the line sensor 18 increases. This is considered to be because light diffraction occurs around the dust. Therefore, the digital image data around the portion where the dust or the like exists indicates that the density of the film original 26 is low. That is, as shown in FIG. 5C, digital image data increments 41 and 42 occur.

As shown in the data 43 of FIG. 5C, the luminance level of the digital image data changes depending on the density value of the picture. As described above, each of the R image data, the G image data, and the B image data includes “the luminance level corresponding to the original density of the film original” as “the luminance of the increase or decrease of the transmitted light due to dust or scratches”. The "level" is superimposed.

On the other hand, the film original 26 originally has low light-receiving sensitivity to IR light. Therefore film original 26
Is hardly influenced by the density of the film original 26. Therefore, when the illumination light is IR light, the obtained IR image data has a substantially constant value no matter what film original is brought. However, when there is dust, scratches, or the like on the film original 26, the light reaching the line sensor 18 increases or decreases due to the influence thereof. That is, the IR image data is data changed due to dust, scratches, and the like. That is, a decrease section 40 and increase sections 41 and 42 also occur in the IR image data. in short,
In the IR image data, the data whose value increases or decreases reflects the “brightness level of the increase or decrease of the transmitted light due to dust, flaws or the like”.

In FIGS. 6 and 7, when there is no defect on the film original 26, the luminance level of the IR image data indicates a certain value (reference value), while the R image data, the G image data, and the B image data have the same luminance level. The luminance level of the image data indicates a value corresponding to the document density. Then, when there is a defect on the film original 26, in FIG. 6, the luminance level is reduced at the defective portion. In FIG. 7, the luminance level is increased at the defective portion. In the case of FIG. 6, the IR luminance level (IR ') at the defect location is reduced with respect to the IR luminance level (IR) at the defect-free location. In the case of FIG. 7, the IR luminance level (IR ′) at the defect location
Increase with respect to the IR luminance level (IR) in the area where there is no defect. Therefore, the ratio of the two (IR / IR ') is
It indicates the rate of change at the defect location. The setting of the IR luminance level (IR) when there is no defect will be described later.

In the IR luminance level of the film original 26, the IR luminance level (I
R ′) is detected. IR brightness level (I
R ′) is multiplied by a correction coefficient (IR / IR ′) which is a ratio between the two to obtain an IR luminance level (IR). The luminance level of digital image data corresponding to visible light also increases and decreases at the same rate as the IR luminance level. Therefore, by multiplying each of the R luminance level (R '), the G luminance level (G'), and the B luminance level (B ') by the correction coefficient (IR / IR'), the influence of the defect in the luminance level of each color is obtained. Can be corrected. That is, as shown in FIGS. 6 and 7, when there is no defect, the R luminance level (R), the G luminance level (G),
The B luminance level (B) can be reproduced.

However, this correction processing is effective only for the R image data and G data attenuated due to the defect.
This is limited to a case where the image data and the B image data contain information to some extent when there is no defect. That is, the ratio (IR
/ IR ′) is too low, the IR ′
Image data, G image data, and B image data cannot be corrected. If the luminance level of IR 'is lower than the set threshold, it is considered that correction cannot be performed simply by multiplying the ratio (IR / IR').

In this case, the correction can be performed by the following interpolation processing. In general, the area occupied by dust, scratches, and the like is not so large, so that the density difference (that is, pattern) on the original film original 26 is within the occupied area.
Is unlikely to be present, and is more likely to be a uniform picture. Therefore, for a portion specified as having dust, scratches, or the like, the data of the adjacent portions on both sides are used, and if these are connected smoothly, an image that does not cause a sense of incongruity with the original image of the film original 26 is corrected. Is possible.

Next, since the above-described correction operation is performed in the form of a cooperative operation between the host computer 1 and the image reading apparatus 2, the processing procedure of the host computer 1 and the processing procedure of the CPU 11 of the image reading apparatus 2 will be described. This will be described in detail separately. First, the processing procedure of the host computer 1 will be described with reference to FIGS. 22 and FIG.
5, the processing procedure of the CPU 11 of the image reading apparatus 2 will be described.

The programs shown in the flowcharts of FIGS. 8 to 17 are stored in the CD-ROM 3 so that the programs can be set up in the host computer 1. The set up program is stored in the HDD 1c. Then, the program is read into the memory 1b,
Used for PU1a. The programs shown in the flowcharts of FIGS. 22 to 25 are stored in the ROM 15. The program is used by the CPU 11 while being read into the RAM 16.

(A) Processing Procedure of Host Computer 1 The flowchart of FIG. 8 is started when the user operates the input device of the host computer 1 and starts the image reading processing program. In S401,
A command is sent to the image reading device 2 to inquire whether the film original 26 is present. The image reading device 2 is described above (FIG. 3,
As shown in FIG. 4), the presence or absence of the film original 26 is detected, and an answer is sent to the host computer 1.

In step S402, it is determined whether or not the answer to the document presence from the image reading device 2 indicates that there is a document. If the host computer 1 receives a response indicating that there is a document, the host computer 1 determines YES, and proceeds to S403. Also, the host computer 1
Is NO in S402 upon receiving the answer that there is no film manuscript
And the process proceeds to S408. In S408, the host computer 1 sets the flag F2 to 0. F2 = 0 indicates that the film original 26 is not loaded. F2 = 1 indicates that the film original 26 is loaded. Since the flag F2 is initialized when the host computer 1 starts the image reading processing program, F2 = 0 at the time of the first image reading operation. Note that the flag F2 is stored in the memory 1b.

In S403, the host computer 1 determines whether the user has issued a scan instruction. S4
If YES is determined in 03, the process proceeds to S404. S
If NO is determined in 403, the process returns to S401. S404
It is determined whether or not the flag F2 is set to 0.
In S404, the host computer 1 sets the flag F2 to 0.
If it is determined that the process is executed, the process proceeds to S405. In S405, the flag F2 is set to "1". In S406, the flag F3 is set to 1. When the host computer 1 determines that the flag F2 is 1 in S404,
Proceed to S407.

F3 = 1 indicates that the film original 26 has changed from non-existent to present. F3 = 0 indicates that the calculation of the first IR luminance level for the currently inserted film original 26 has been completed. The first IR luminance level will be described later. In S407, the host computer 1 determines whether the flag F3 is “1”. When the flag F3 is 1, the process proceeds to S410. If the flag F3 is 0, the prescan is not performed and S438
Proceed to.

In S410, the host computer 1
A pre-scan start command is transmitted to the image reading device 2. The image reading device 2 performs a prescan as described later (FIGS. 22 to 25), and transmits digital image data to the host computer 1. This digital image data is represented by R
Image data, G image data, B image data, and IR image data.

In S411, the host computer 1
It waits until reception of all digital image data from the image reading device 2 is completed. When receiving all the digital image data, the host computer 1 determines YES in S411, and proceeds to S412. In S412, the host computer 1 detects the maximum luminance level of R image data, Rmax, the maximum luminance level of G image data, Gmax, and the maximum luminance level of B image data, Bmax, from the received digital image data. . Then, in the next S413, the host computer 1 determines whether or not the set film is a positive film.

If the film is a positive film, the host computer 1 determines YES in S413, and the flow advances to S414. If the film is a negative film, the host computer 1 determines NO in S413 and proceeds to S419.
The processing of S414 to S418 and the processing of S419 to S424 are processing for setting the accumulation time of the line sensor 18 during the preview scan or the main scan.

1) When the set film is a positive film. In S414, the host computer 1 sets the largest value among Rmax, Gmax, and Bmax obtained in S412 as the visible light max. In S415, the host computer 1 calculates the magnification of RGB in order to set the visible light max near the full scale of the A / D converter 19. That is, when the A / D converter 19 has 8 bits, since the full scale is 255, the calculation of RGB magnification = 255 / visible light max is performed.

In step S416, the host computer 1 determines whether the received IR image
Find max. In S417, the IR magnification is calculated to set IRmax near the full scale of the A / D converter 19. That is, when the A / D converter 19 has 8 bits, the calculation of the IR magnification = 255 / IRmax is performed.

Then, in S418, the host computer 1 determines the storage times Tr ', Tg', Tb ', Ti
By multiplying r 'by each magnification, the accumulation time Tr, Tg, Tb, Tir at the time of the preview scan or the main scan is set. That is, S41
In 8, the host computer 1 executes the following operation,
The process proceeds to S425. Tr = Tr ′ × RGB magnification Tg = Tg ′ × RGB magnification Tb = Tb ′ × RGB magnification Tir = Tir ′ × IR magnification 2) When the set film is a negative film.

In this case, the R calculated in S412
To set each of max, Gmax, and Bmax near the full scale of the A / D converter 19, the magnification for each is obtained. That is, in S419, the host computer 1
Calculates R magnification = 255 / Rmax using Rmax obtained in S412. In S420, the host computer 1 calculates G magnification = 255 / Gmax using Gmax obtained in S412. S42
In 1, the host computer 1 calculates B magnification = 255 / Bmax using Bmax obtained in S412.

In S422, the host computer 1 determines the maximum luminance value of the received IR image data.
Find max. In S423, the magnification of IR is calculated to set IRmax near the full scale of the A / D converter 19. That is, the magnification of IR = 255 / IRmax is calculated, and the process proceeds to S424. Then, in S424, the host computer 1 determines the storage time Tr ′, T
By multiplying g ′, Tb ′, and Tir ′ by the magnification, the accumulation times Tr, Tg, Tb, and Tir during the preview scan or the main scan are set. That is, in S424, the host computer 1 executes the following calculation, and proceeds to S425.

Tr = Tr ′ × R magnification Tg = Tg ′ × G magnification Tb = Tb ′ × B magnification Tir = Tir ′ × IR magnification Next, in S425, the host computer 1 Is the accumulation time Tr, T
The g, Tb, and Tir data and the preview scan start command are transmitted. Thereby, the image reading device 2 performs image reading by the preview scan. Host computer 1
Waits until transmission of all digital image data from the image reading apparatus 2 is completed in the next step S426.

The host computer 1 has an image reading device 2
When the reception of the preview scan image data from is completed, YES is determined in S426, and the process proceeds to S427. S4
In 27, the host computer 1 displays an image on a display based on the digital image data received in S426. In S428, the variable S is initialized to 0.
Then, in S429, the variable n is initialized to 0. The variables S and n are stored in the memory 1b and are used for calculating the average of the IR luminance levels as described later.

Next, in steps S431 to S436, an IR luminance level (first IR luminance level) is obtained as a reference value.
The first IR luminance level is the IR when no defect is present.
It is desirable to be close to the brightness level. Here, it is assumed that the area of a defective portion on the document is small. Based on this assumption, the average of the IR luminance levels is determined as the first IR luminance level. However, if the calculation is performed including pixels whose level is significantly reduced such as dust, the error increases. Therefore, in S430, a threshold value (second IR luminance level) outside the range of the variation of the IR luminance level due to the type of the film or the subject is set. Pixels lower than the second IR luminance level are not used when obtaining the first IR luminance level. In S430, the second IR luminance level is determined in the following procedure.

First, the maximum luminance level IRmax is detected from the received IR image data in S426. Next, S42
From the IR image data received in step 6
Detect Rmin. Then, based on the following equation, the second
Calculate the IR luminance level. Second IR luminance level = (IRmax + IRmin) / 2 As shown in FIG. 5C, the influence of the increasing portions 41 and 42 is smaller than that of the defective portion 40 as compared with the luminance level when there is no defect. it is conceivable that. Thus, using the above equation, the luminance level of most non-defective pixels is
It is higher than the second IR luminance level. Therefore, it is possible to obtain a reference value that reflects the luminance level of most non-defective pixels.

In S431, the host computer 1
One pixel is selected from the IR image data. S432
Then, the host computer 1 determines the I of the selected pixel.
It is determined whether the R luminance level is equal to or higher than the second IR luminance level. If the IR luminance level is equal to or higher than the second IR luminance level, the process proceeds to S433. Also, if the IR luminance level is the second
If it is lower than the IR luminance level, the process proceeds to S435.

In S433, the host computer 1
The IR luminance level of the pixel selected in S431 is set as a variable S
Is added to. Next, in S434, 1 is added to the variable n. In S435, the host computer 1 proceeds to S431
It is determined whether or not the processing of S434 has been performed for all pixels. If it is determined that the processing for all the pixels has not been completed, the process returns to S431. If it is determined that the processing for all the pixels has been completed, the process proceeds to S436. In S436, the host computer 1 calculates the average value S / n, and stores the value as the first IR luminance level in the memory 1b.

At S437, 0 is set to the flag F3. Next, in S438, the host computer 1 sends the obtained storage times Tr, Tg, Tb, Tir to the image reading device 2.
And the main scan start command. Thereby, the image reading device 2 executes reading of the image of the main scan. In the next step S439, the host computer 1
It waits until transmission of the main scan image data from the image reading device 2 is completed.

The host computer 1 includes an image reading device 2
When the reception of the main scan image data from
It is determined YES at 9 and the process proceeds to S440. In S440,
The pixel of the m-th block is selected from all the pixels of the IR image data. In steps S441 to S447, the host computer 1 executes the defect position alignment processing on the R image data of the corresponding m-th block.

FIGS. 18 to 21 are diagrams for explaining the position alignment processing of the defect position. It is assumed that the first IR luminance level calculated in S436 is "240". FIG.
In (a), the shaded pixels and defects indicate that the IR luminance level has been reduced. The surrounding pixels have an increased IR brightness level, and the first I
The value is higher than the R luminance level. FIG. 18 (b)
FIG. 18 is a diagram showing the R luminance level of a block related to R image data corresponding to FIG. On the other hand, FIG. 18C shows the R luminance level when there is no defect in the corresponding block. That is,
FIG. 18C is a diagram illustrating the R luminance level after the correction.

In S441, the host computer 1
R corresponding to the m-th block of the selected IR image data
One block is selected from blocks having a deviation within ± 3 pixels (pixels) of the m-th block of the image data. FIG.
9 to 21 show a state in which the 3 × 3 pixels of interest are shifted one pixel at a time in the vertical and horizontal directions. S442
Then, the host computer 1 calculates "the R luminance level of the selected n-th block of pixels"-"the IR luminance level of the m-th block of pixels" to obtain a subtraction value (R) n. For example, “A-1” in FIG.
The position in FIG. 18B corresponding to the position of × 3 pixels is the n-th block. Therefore, “A-1” in FIG.
The subtraction value "-45" of the first line of 3x3 pixels indicated by a dark frame
"-45" and "90" are "-45 = 200-245", "-45 = 200-245",
It is obtained by an operation such as "90 = 210-120".

In S443, the host computer 1
The sum (R) n of the absolute values of the subtraction values obtained as described above is obtained. Speaking of the subtraction value of 3 × 3 pixels indicated by a dark frame in “A-1” in FIG. 19, the sum of the first row is “180”, the sum of the second row is “340”, and the sum of the third row is "411", and the sum of these is "931". In S444, the host computer 1
Records the total value (R) n of the subtraction values obtained in S443 as described above in the memory 1b. In S445, the host computer 1 determines whether or not the operation of calculating the total value of the subtraction values by shifting the target 3 × 3 pixel by one pixel in the vertical direction and the horizontal direction has been performed 49 times. If the determination is NO, the process returns to S441. That is, "A-2" in FIG.
"A-3", "B-1", "B-2", "B-3" in FIG. 20, FIG.
Similar processing is performed in each of the blocks “C-1”, “C-2”, and “C-3”.

Then, the host computer 1 proceeds to S44
If YES is determined in S5, the process proceeds to S446, and the total value (R) n
Select the total value (R) n.min, which is the minimum value of In the example of FIGS. 19 to 21, “B” in FIG.
-2 "is selected. In S447, the host computer 1 specifies the block (“B-2” in FIG. 20) corresponding to the total value (R) n.min as the corresponding block of the m-th block (FIG. 18A) of the IR image data. I do. S448
Then, the host computer 1 determines the m-th IR image data.
One pixel is selected from the block (FIG. 18A).

In S449, I of the selected IR pixel is
It is determined whether the R luminance level is equal to or higher than the third IR luminance level. When the IR luminance level of the selected IR pixel is equal to or higher than the third IR luminance level, the host computer 1 determines YES in S449 and proceeds to S450. In S450, a calculation of (first IR luminance level) / (IR luminance level of the corresponding pixel) is performed to obtain a correction coefficient. In S451, the host computer 1 performs an operation of corrected R luminance level = (R luminance level of corresponding pixel) × (correction coefficient). In S452, the host computer 1 stores the corrected R luminance level obtained in S451 in the memory 1b.
To record.

On the other hand, the host computer 1 executes S449
If the determination is NO, that is, if the IR luminance level of the selected IR pixel is smaller than the third IR luminance level, the flow proceeds to S453. In S453, the host computer 1 calculates the R luminance level of the corresponding R pixel based on the peripheral R luminance level. Then, in S454, the host computer 1 records the calculated R luminance level in the memory 1b, and proceeds to S455.

In S455, the host computer 1
It is determined whether the process has been completed for all pixels in the m-th block. If the determination in S455 is NO, S44
8, the same process is performed for the next pixel. On the other hand, if the determination in S455 is YES, the process advances to S456, and the host computer 1 determines whether or not the processing of all the blocks has been completed for the R image data.

If the determination in S456 is NO, the host computer 1 returns to S440, selects a block, and performs the same processing for the R image data. On the other hand, S
If the determination at 456 is YES, the host computer 1
Executes the process of S457. S457-S47
3 shows processing for G image data,
S491 shows a process for the B image data. These processes are performed on the R data (S440 to S45).
Since the processing is the same as 6), the description is omitted.

If the determination in S491 is YES, the host computer 1 proceeds to S492 and determines whether or not the set film original 26 is a positive film. When the user operates the input device of the host computer 1 in advance, whether the film original 26 is a positive film or a negative film is set. The determination in S492 is Y
In the case of ES, the host computer 1 proceeds to S493, and determines whether the user has set gradation conversion. If the determination in S493 is YES, the host computer 1 performs a gradation conversion process on each of the R, G, and B data in S494. If the determination in S493 is NO, the host computer 1 skips the processing in S494 and proceeds to S495.

Then, the host computer 1 executes S49
At 5, the digital image data is output to the display to display the image. On the other hand, if the determination in S492 is NO, the host computer 1 proceeds to S496, and determines whether or not the user has set gradation conversion.
If the determination in S496 is YES, the host computer 1 merges the set gradation conversion function with the gradation inversion function in S497, and proceeds to S494. Also, the determination in S496 is N
In the case of O, the host computer 1 sets the gradation inversion function as a set gradation conversion function in S498, and S494
Proceed to.

[0099] The same processing as that described above is performed in and after S494, and a description thereof will be omitted. (B) Image Scanning Procedure of Image Scanning Apparatus The flowchart in FIG. 22 starts based on the prescan start command in S410, the preview scan start command in S425, or the main scan start command in S438. The image reading device 2 according to the present embodiment executes a frame sequential image reading.

Steps S129 to S136 are processing relating to the R image data. S137 to S143 are processing relating to the G image data. S144 to S150 are processing relating to the B image data. S151 to S157 are IR
This is processing related to image data. First, a process regarding the R image data will be described. In S129, the CPU 11
By controlling the motor drive circuit 12, the document holding table 32 is moved to the reading start position in the sub-scanning direction. In S130, the CP
U11 controls the motor drive circuit 28 to move the position of the film original 26 in the optical axis direction to the R position. The R position is
This is the position where the red component of the film original 26 forms an image on the line sensor 18. In S131, the CPU 11 executes RL
The ED is started to emit light.

In S132, the CPU 11 starts driving the line sensor 18. The line sensor 18 has an accumulation time T
Drive is continued at a predetermined timing by r. When the accumulation time Tr is not set by the host computer 1, the CPU 11 sets the line sensor 1 to a predetermined accumulation time.
8 is driven. In S133, the CPU 11 transmits the read R image data for one line to the host computer 1.

Next, in S134, the CPU 11 controls the motor drive circuit 12 to move the document holding table 32 by one line in the sub-scanning direction. In S135, the CPU 11 determines whether the reading for the set number of lines has been completed. The set number of lines is set by the host computer 1. If the determination in S135 is NO, the CPU 1
1 performs the processing of S133 and S134. If the determination in S135 is YES, the acquisition of the R image data has been completed, and the CPU 11 turns off the R-LED in S136. Further, the CPU 11 stops driving the line sensor 18.

The processing relating to the G image data will be described. S
At 137, the CPU 11 controls the motor drive circuit 28 to move the position of the film original 26 in the optical axis direction to the G position. The G position is a position where the green component of the film document 26 forms an image on the line sensor 18. In S138, the CP
U11 causes the G-LED to emit light. In S139, C
The PU 11 starts driving the line sensor 18. The line sensor 18 continues to be driven at a predetermined timing based on the accumulation time Tg. Storage time Tg by the host computer 1
Is not set, the CPU 11 drives the line sensor 18 for a predetermined accumulation time. In S140, C
The PU 11 transmits the read G image data for one line to the host computer 1.

Next, in S141, the CPU 11 controls the motor drive circuit 12 to move the document holding table 32 by one line in the sub-scanning direction. In S142, the CPU 11 determines whether the reading for the set number of lines has been completed. If the determination in S142 is NO, the CPU 11
The processing of S140 and S141 is performed. The determination in S142 is Y
In the case of ES, the acquisition of G image data has been completed.
The PU 11 turns off the G-LED in S143. Further, the CPU 11 stops driving the line sensor 18.

The processing for the B image data will be described. S
At 144, the CPU 11 controls the motor drive circuit 28 to move the position of the film original 26 in the optical axis direction to the position B. The B position is a position where the blue component of the film original 26 forms an image on the line sensor 18. In S145, the CP
U11 causes the B-LED to emit light. In S146, C
The PU 11 starts driving the line sensor 18. The line sensor 18 continues to be driven at a predetermined timing based on the accumulation time Tb. Storage time Tb by the host computer 1
Is not set, the CPU 11 drives the line sensor 18 for a predetermined accumulation time. In S147, C
The PU 11 transmits the read B image data for one line to the host computer 1.

Next, in S148, the CPU 11 controls the motor drive circuit 12 to move the document holding table 32 by one line in the sub-scanning direction. In S149, the CPU 11 determines whether reading of the set number of lines has been completed. If the determination in S149 is NO, the CPU 11
The processing of S147 and S148 is performed. The determination in S149 is Y
In the case of ES, the acquisition of the B image data has been completed.
The PU 11 turns off the B-LED in S150. Further, the CPU 11 stops driving the line sensor 18.

The processing relating to the IR image data will be described.
In S151, the CPU 11 controls the motor drive circuit 28 to move the position of the film original 26 in the optical axis direction to the IR position. The IR position is a position where an infrared component of the film document 26 forms an image on the line sensor 18. In S152, the CPU 11 causes the IR-LED to start emitting light. S
In 153, the CPU 11 starts driving the line sensor 18. The line sensor 18 continues to be driven at a predetermined timing according to the accumulation time Tir. If the storage time Tir has not been set by the host computer 1, the CPU 1
1 drives the line sensor 18 for a predetermined accumulation time. In S154, the CPU 11 transmits the read IR image data for one line to the host computer 1.

Next, in S155, the CPU 11 controls the motor drive circuit 12 to move the document holding table 32 by one line in the sub-scanning direction. In S156, the CPU 11 determines whether the reading for the set number of lines has been completed. If the determination in S156 is NO, the CPU 11
The processing of S154 and S155 is performed. The determination in S156 is Y
When it comes to ES, the acquisition of IR image data has been completed.
In S157, the CPU 11 turns off the IR-LED.
Then, the CPU 11 determines in step S158 that the line sensor 18
Is stopped, and the processing of this flowchart ends.

The CPU 11 obtains R image data on the way forward, G image data on the way back, B image data on the way back, and IR image data on the way back by reading the image sequentially. Next, a second embodiment of the present invention will be described. The second embodiment is different from the first embodiment in that the processing in the flowchart in FIG. 10 is replaced with the flowchart in FIG. The other points are the same as in the first embodiment, and a description thereof will be omitted.

FIG. 26 is a diagram showing a part of a flowchart of the second embodiment. The program shown in the flowchart of FIG. 26 is stored in the CD-ROM 3 so that the program can be set up in the host computer 1. The set up program is stored in the HDD 1c.
The program is used by the CPU 1a while being read into the memory 1b.

Hereinafter, description will be made based on the flowchart of FIG. In S525, the host computer 1 transmits the data of the calculated storage times Tr, Tg, Tb, Tir and the preview scan start command to the image reading device 2. Thereby, the image reading device 2 performs image reading by the preview scan. The host computer 1 executes the following S5
26, all the preview image data is stored in the image reading device 2
Wait until transmission completes.

The host computer 1 includes an image reading device 2
When the reception of the preview scan image data from is completed, YES is determined in S526, and the process proceeds to S527. S5
In 27, the host computer 1 displays an image on a display based on the digital image data received in S526. In S528, a threshold value (second IR luminance level) outside the range of the variation in the IR luminance level due to the type of the film or the subject is set. Pixels lower than the second IR luminance level are not used when obtaining the first IR luminance level. Specifically, the second IR luminance level is determined according to the following procedure.

First, the maximum luminance level IRmax is detected from the received IR image data in S526. Next, S52
From the IR image data received in step 6
Detect Rmin. Then, based on the following equation, the second
Calculate the IR luminance level. Second IR luminance level = (IRmax + IRmin) / 2 By using the above-mentioned second IR luminance level, it is possible to obtain a reference value reflecting the luminance level of most defect-free pixels.

In S529, each H (L) is initialized to 0. H (L) indicates how many pixels have an IR luminance level of L. For example, H (0) indicates the number of pixels having an IR luminance level of 0. Next, S53
In steps 1 to S536, the IR luminance level (first
IR luminance level). The first IR luminance level is preferably close to the IR luminance level when no defect exists. Here, it is assumed that the area of a defective portion on the document is small. Based on this assumption, the most frequent value among the IR luminance levels is determined as the first IR luminance level.

In S531, the host computer 1
One pixel is selected from the IR image data. S532
Then, the host computer 1 determines the I of the selected pixel.
It is determined whether the R luminance level is equal to or higher than the second IR luminance level. When the IR luminance level is equal to or higher than the second IR luminance level, the process proceeds to S533. Also, if the IR luminance level is the second
If it is lower than the IR luminance level, the process proceeds to S535.

In S533, the host computer 1
The IR brightness level L of the pixel selected in S531 is determined, and 1 is added to H (L). In S535, the host computer 1 determines whether or not the processing in S531 to S533 has been performed for all pixels. If it is determined that the processing of all pixels has not been completed, the process returns to S531. If it is determined that the processing for all the pixels has been completed, the process proceeds to S536. In S536, the host computer 1
An L at which (L) is the maximum value is detected, and the L is stored in the memory 1b as a first IR luminance level.

At S537, 0 is set to the flag F3.

[0118]

According to the apparatus of the present invention, it is possible to reliably obtain an image in which the influence of a defect in a transparent original has been corrected. In particular, the correction means performs the correction process on the visible component level in the first area and the visible component level in the second area by using the correction coefficient obtained by the correction coefficient calculation means in common. No correction unevenness occurs in the correction of the first area and the second area.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of an image processing apparatus according to a first embodiment.

FIG. 2 is a diagram illustrating a state of arrangement of a film original.

FIG. 3 is a flowchart illustrating a document detection process performed by a CPU 11;

FIG. 4 is a flowchart illustrating a procedure of document detection by a CPU 11;

FIG. 5 is a diagram for explaining digital image data.

FIG. 6 is an explanatory diagram of the principle of correction processing of digital image data.

FIG. 7 is an explanatory diagram of the principle of correction processing of digital image data.

FIG. 8 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 9 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 10 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 11 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 12 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 13 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 14 is a flowchart illustrating a correction processing procedure of a host computer.

FIG. 15 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 16 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 17 is a flowchart illustrating a correction processing procedure of the host computer.

FIG. 18 is an explanatory diagram of alignment.

FIG. 19 is an explanatory diagram of alignment.

FIG. 20 is an explanatory diagram of alignment.

FIG. 21 is an explanatory diagram of positioning.

FIG. 22 is a flowchart illustrating a processing procedure of a CPU 11;

FIG. 23 is a flowchart illustrating a processing procedure of the CPU 11;

FIG. 24 is a flowchart illustrating a processing procedure of a CPU 11;

FIG. 25 is a flowchart showing a processing procedure of the CPU 11;

FIG. 26 is a flowchart illustrating a correction processing procedure of the host computer.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Host computer 1a Central processing unit (CPU) 1b Memory 1c Hard disk drive (HDD) 2 Image reading device 3 Storage medium (CD-ROM) 11 Central processing unit (CPU) 12 Motor drive circuit 13 LED drive circuit 14 Signal processing circuit 15 ROM 16 RAM 17 Interface circuit (IF circuit) 18 Line sensor 19 A / D converter 20 Sub-scanning mechanism motor 21 Illumination device 22 Reflection mirror 23 Reflection mirror 24 Toric mirror 25 Lens 26 Film original 26a Film original 26b Film mount 27 Focus adjustment motor 28 Motor drive circuit 29 Sub-scanning mechanism 30 Focus adjustment mechanism 32 Document holder 33 Film press spring 34 Clear part 35 Optical axis 70 Dust P Illumination position

 ────────────────────────────────────────────────── ─── Continuing on the front page (72) Inventor Eisaku Maeda 3-2-3 Marunouchi, Chiyoda-ku, Tokyo F-term in Nikon Corporation (reference) 5C024 AA03 AA06 AA07 AA18 CA05 CA21 DA01 EA03 EA04 EA08 FA02 HA12 HA14 HA20 HA21 HA23 5C077 LL02 MP01 MP08 NP01 PP09 PP28 PP31 PP43 PP46 PP58 PP68 PQ08 PQ12 PQ19 PQ22 RR14 5C079 LA00 LA01 LA10 LA31 MA01 MA02 MA11 NA02

Claims (30)

[Claims] 1. An infrared component decomposing means for decomposing a color component of an image of a transmissive document into an infrared component; an infrared component detecting means for detecting an infrared component level of the decomposed infrared component; Correction coefficient calculating means for obtaining a correction coefficient based on an external component level; visible component decomposing means for decomposing a color component of the image of the transparent original into visible components; and detecting a visible component level of the decomposed visible component. A visible component detecting unit, a first visible component selecting unit that selects the visible component corresponding to a first region that is a part of the surface of the transparent document, and a first visible component that is a part of the surface of the transparent document. Second visible component selecting means for selecting the visible component corresponding to a second region different from the region; and the correction coefficient for the visible component level in the first region and the visible component level in the second region. Operator The image processing apparatus characterized by comprising a correction means for performing correction processing by using the common correction coefficient obtained by. 2. The image processing apparatus according to claim 1, wherein the correction coefficient calculating means calculates the correction coefficient based on an average value of the infrared component level. 3. The image processing apparatus according to claim 2, wherein the correction coefficient calculation unit calculates (average value of infrared component level) / (red value of correction symmetric pixel) based on the average value of the infrared component level. An external component level) to obtain the correction coefficient. 4. The image processing apparatus according to claim 2, further comprising an infrared component selecting unit that selects only the infrared component level equal to or greater than a threshold value, wherein the correction coefficient calculating unit is configured to perform the infrared component selecting unit. An image processing apparatus comprising: calculating an average value of the infrared component levels selected by the method; and calculating the correction coefficient based on the calculated average value. 5. The image processing apparatus according to claim 1, wherein the correction coefficient calculating unit performs the correction based on a most frequent infrared component level corresponding to a most frequent one of the infrared component levels. An image processing apparatus for determining a coefficient. 6. The image processing apparatus according to claim 5, wherein the correction coefficient calculating means is configured to calculate (the most frequent infrared component level) / (the infrared component of the corrected symmetric pixel) based on the most frequent infrared component level. An image processing apparatus that calculates the correction coefficient by calculating the correction coefficient. 7. The image processing apparatus according to claim 1, wherein a judging unit for judging whether or not the calculation of the correction coefficient for the transparent original has been completed, and the judging unit judges that the calculation of the correction coefficient has not been completed. An image processing apparatus further comprising: an arithmetic control unit that causes the correction coefficient arithmetic unit to start an arithmetic operation based on the above. 8. The image processing apparatus according to claim 7, further comprising: document detection means for detecting that the transparent document has been inserted into the image processing apparatus; An image processing apparatus that determines that the calculation has not been completed based on document insertion detection by the means. 9. An infrared component decomposing means for decomposing a color component of an image of a transparent original document into an infrared component; an infrared component detecting means for detecting an infrared component level of the decomposed infrared component; Correction coefficient calculating means for obtaining a correction coefficient based on the average value of the external component levels; visible component decomposing means for decomposing the color components of the image of the transparent document into visible components; and visible component level of the decomposed visible components Image processing, comprising: a visible component detecting unit that detects a correction factor; and a correcting unit that performs a correction process on the visible component level by using the correction coefficient obtained by the correction coefficient calculating unit. apparatus. 10. The image processing apparatus according to claim 9, wherein the correction coefficient calculating unit calculates (average value of infrared component level) / (red value of correction symmetric pixel) based on the average value of the infrared component level. An external component level) to calculate the correction coefficient. 11. The image processing apparatus according to claim 9, further comprising: an infrared component selecting unit that selects only the infrared component level equal to or greater than a threshold value, wherein the correction coefficient calculating unit is the infrared component selecting unit. An image processing apparatus comprising: calculating an average value of the infrared component levels selected by the method; and calculating the correction coefficient based on the calculated average value. 12. An infrared component decomposing means for decomposing a color component of an image of a transmissive document into an infrared component, an infrared component detecting means for detecting an infrared component level of the decomposed infrared component, and Correction coefficient calculating means for calculating the correction coefficient based on the most frequent infrared component level corresponding to the most frequent level among the external component levels; and a visible component for decomposing the color components of the image of the transparent document into visible components. A component decomposer, a visible component detector for detecting a visible component level of the decomposed visible component, and a correction process for the visible component level by using the correction coefficient obtained by the correction coefficient calculator. An image processing apparatus comprising: a correction unit that executes 13. The image processing apparatus according to claim 12, wherein the correction coefficient calculating means is configured to calculate (the most frequent infrared component level) / (the infrared component of the corrected symmetric pixel) based on the most frequent infrared component level. An image processing apparatus that calculates the correction coefficient by calculating the correction coefficient. 14. An infrared component decomposing means for decomposing a color component of an image of a transparent original document into an infrared component, an infrared component detecting means for detecting an infrared component level of the decomposed infrared component, and Correction coefficient calculating means for obtaining the correction coefficient based on the external component level; determining means for determining whether the correction coefficient for the transparent document has been calculated; and determining that the correction coefficient has not been calculated. Calculation control means for causing the correction coefficient calculation means to start a calculation based on the determination of: a visible component decomposing means for decomposing a color component of the image of the transparent document into a visible component; and A visible component detecting means for detecting a visible component level; and a correction means for executing a correction process on the visible component level by using the correction coefficient obtained by the correction coefficient calculating means. The image processing apparatus characterized by having and. 15. The image processing apparatus according to claim 14, further comprising: document detection means for detecting that the transparent document has been inserted into the image processing apparatus; An image processing apparatus that determines that the calculation has not been completed based on document insertion detection by the means. 16. An infrared component decomposing means for decomposing a color component of an image of a transparent original into infrared components, an infrared component detecting means for detecting an infrared component level of the decomposed infrared component, A storage medium that stores a control procedure of an image processing apparatus having a visible component decomposing unit that decomposes a color component of an image of a document into visible components, and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on the infrared component level; and a first visible component selection procedure for selecting the visible component corresponding to a first area which is a part of the surface of the transparent document. A second visible component selecting step of selecting the visible component corresponding to a second region different from the first region, which is a part of the surface of the transparent document, and a visible component level in the first region and the second visible component level. In two areas And a correction procedure for executing a correction process by commonly using the correction coefficient obtained by the correction coefficient calculation procedure for the visible component level. A storage medium for storing. 17. A storage medium for storing a control procedure of the image processing apparatus according to claim 16, wherein the correction coefficient calculation step includes a step of obtaining the correction coefficient based on an average value of the infrared component level. A storage medium for storing a control procedure of the image processing apparatus. 18. The storage medium for storing a control procedure of the image processing apparatus according to claim 17, wherein the correction coefficient calculation procedure is performed based on the average value of the infrared component level. ) / (Infrared component level of corrected symmetric pixel) to calculate the correction coefficient, and stores a control procedure of the image processing apparatus. 19. A storage medium for storing a control procedure of the image processing apparatus according to claim 17, further comprising an infrared component selection procedure for selecting only an infrared component level equal to or higher than a threshold value, wherein said correction coefficient calculation procedure is Controlling the image processing apparatus by calculating an average value of the infrared component levels selected by the infrared component selecting step, and calculating the correction coefficient based on the calculated average value. Storage medium for storing. 20. The storage medium for storing a control procedure of the image processing apparatus according to claim 16, wherein the correction coefficient calculation procedure is a most frequent infrared ray corresponding to a most frequent level among the infrared component levels. A storage medium for storing a control procedure of an image processing apparatus, comprising a procedure for obtaining the correction coefficient based on a component level. 21. A storage medium for storing a control procedure of the image processing apparatus according to claim 20, wherein the correction coefficient calculation procedure is performed based on the most frequent infrared component level (most frequent infrared component level) / A storage medium for storing a control procedure of the image processing apparatus, including a procedure of calculating the correction coefficient by calculating (infrared component level of the correction symmetric pixel). 22. A storage medium for storing a control procedure of the image processing apparatus according to claim 16, wherein a determination procedure is performed to determine whether the calculation of the correction coefficient for the transparent original is completed, and the correction is performed by the determination procedure. A storage medium for storing a control procedure of the image processing apparatus, further comprising: a control procedure for starting the calculation of the correction coefficient calculation procedure based on a determination that the coefficient calculation has not been completed. 23. A storage medium for storing a control procedure of the image processing apparatus according to claim 22, wherein the image processing apparatus detects that the transparent document has been inserted into the image processing apparatus. A storage medium storing a control procedure of the image processing apparatus, wherein the computation control procedure includes a procedure of determining that computation has not been completed based on the document insertion detection of the document detection means. 24. An infrared component decomposing means for decomposing a color component of an image of a transparent document into infrared components, an infrared component detecting means for detecting an infrared component level of the decomposed infrared component, A storage medium that stores a control procedure of an image processing apparatus having a visible component decomposing unit that decomposes a color component of an image of a document into visible components, and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on the average value of the infrared component levels; and correcting the visible component level by using the correction coefficients obtained in the correction coefficient calculation procedure. A storage medium for storing a correction procedure for executing processing and a control procedure for the image processing apparatus, which stores the correction procedure. 25. The storage medium storing a control procedure of the image processing apparatus according to claim 24, wherein the correction coefficient calculation procedure is performed based on the average value of the infrared component level. ) / (Infrared component level of corrected symmetric pixel) to calculate the correction coefficient, and stores a control procedure of the image processing apparatus. 26. A storage medium for storing a control procedure of the image processing apparatus according to claim 24, further comprising an infrared component selection procedure for selecting only the infrared component level equal to or higher than a threshold value, wherein said correction coefficient calculation procedure Controlling the image processing apparatus, comprising: calculating an average value of the infrared component level selected in the infrared component selecting step, and calculating the correction coefficient based on the calculated average value. Storage medium for storing. 27. An infrared component decomposing means for decomposing a color component of an image of a transparent document into infrared components, an infrared component detecting means for detecting an infrared component level of the decomposed infrared components, A storage medium that stores a control procedure of an image processing apparatus having a visible component decomposing unit that decomposes a color component of an image of a document into visible components, and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on a most frequent infrared component level corresponding to a most frequent level among the infrared component levels; and A storage medium for storing a control procedure of an image processing apparatus, wherein a correction procedure for executing a correction process by using the correction coefficient obtained in a calculation procedure is stored. 28. The storage medium for storing a control procedure of the image processing apparatus according to claim 27, wherein the correction coefficient calculation procedure is performed based on the most frequent infrared component level (most frequent infrared component level) / A storage medium for storing a control procedure of the image processing apparatus, including a procedure of calculating the correction coefficient by calculating (infrared component level of the correction symmetric pixel). 29. An infrared component decomposing means for decomposing a color component of an image of a transparent original into infrared components, an infrared component detecting means for detecting an infrared component level of the decomposed infrared component, A storage medium that stores a control procedure of an image processing apparatus having a visible component decomposing unit that decomposes a color component of an image of a document into visible components, and a visible component detecting unit that detects a visible component level of the decomposed visible component. A correction coefficient calculation procedure for obtaining a correction coefficient based on the infrared component level; a determination step for determining whether the calculation of the correction coefficient for the transparent document has been completed; and the correction coefficient in the determination step. A calculation control procedure for starting the calculation according to the correction coefficient calculation procedure based on the determination that the calculation has not been completed, and the correction coefficient calculation procedure for the visible component level. Storage medium for storing the control procedure of the image processing apparatus characterized by storing the correction procedure for performing the correction process by using the correction coefficient obtained by this household. 30. A storage medium for storing a control procedure of the image processing apparatus according to claim 29, wherein the image processing apparatus detects that the transparent original has been inserted into the image processing apparatus. A storage medium storing a control procedure of the image processing apparatus, wherein the arithmetic control procedure includes a procedure of determining that the computation has not been completed based on the document insertion detection of the document detection unit.