CN109040524A - Artifact eliminating method, device, storage medium and terminal - Google Patents
Artifact eliminating method, device, storage medium and terminal Download PDFInfo
- Publication number
- CN109040524A CN109040524A CN201810936334.8A CN201810936334A CN109040524A CN 109040524 A CN109040524 A CN 109040524A CN 201810936334 A CN201810936334 A CN 201810936334A CN 109040524 A CN109040524 A CN 109040524A
- Authority
- CN
- China
- Prior art keywords
- exposed images
- short exposed
- short
- camera
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 230000008439 repair process Effects 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 6
- 230000036544 posture Effects 0.000 description 34
- 238000010586 diagram Methods 0.000 description 21
- 230000002093 peripheral effect Effects 0.000 description 9
- 238000012545 processing Methods 0.000 description 8
- 230000009977 dual effect Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000006073 displacement reaction Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000005067 remediation Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000005291 magnetic effect Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000010897 surface acoustic wave method Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 210000000746 body region Anatomy 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the present application discloses a kind of artifact eliminating method, device, storage medium and terminal, this method comprises: first when detecting the long exposure image of acquisition, a long exposure image is obtained by the first camera within the long time for exposure, and at least two the first short exposed images are continuously acquired by second camera；Then, at least two the first short exposed images according to the brightness adjustment of the long exposure image, obtain at least two the second short exposed images；Finally, repairing the artifact region in the long exposure image according at least two second short exposed images, the resource utilization of equipment is improved.
Description
Technical field
The invention relates to technical field of mobile terminals more particularly to artifact eliminating method, device, storage medium and
Terminal.
Background technique
With the continuous development of mobile terminal, almost every mobile terminal is configured with camera function, is based on camera function
It can take pictures.Mobile terminal is intended to the process of taking pictures of automation, can automatically determine the time for exposure according to photo environment.
But discovery in use, with the increase of time for exposure, the mobile of the main body that is taken during exposure can be final
Artifact is generated in the exposure image of generation, causes exposure image unintelligible, user needs to take pictures again at this time, is otherwise unable to get
Promising result, resource utilization ratio are low.
Summary of the invention
The purpose of the embodiment of the present application is to provide a kind of artifact eliminating method, device, storage medium and terminal, can be improved
Mobile terminal resource utilization rate.
In a first aspect, the embodiment of the present application provides a kind of artifact eliminating method, comprising:
When detecting the long exposure image of acquisition, a long exposure diagram is obtained by the first camera within the long time for exposure
Picture, and at least two the first short exposed images are continuously acquired by second camera, the time for exposure of the long exposure image is big
In the time for exposure of first short exposed images；
At least two the first short exposed images according to the brightness adjustment of the long exposure image obtain at least two
Two short exposed images；
The artifact region in the long exposure image is repaired according at least two second short exposed images.
Second aspect, the embodiment of the present application provide a kind of artifact cancellation element, comprising:
Module is obtained, for being obtained by the first camera within the long time for exposure when detecting the long exposure image of acquisition
A long exposure image is taken, and at least two the first short exposed images, the long exposure image are continuously acquired by second camera
Time for exposure be greater than the first end exposure image time for exposure；
Module is adjusted, at least two described in the brightness adjustment of the long exposure image for obtaining according to the acquisition module
The first short exposed images are opened, at least two the second short exposed images are obtained；
Repair module, for according to the adjustment module obtain described in described at least two the second short exposed images repair
Artifact region in long exposure image.
The third aspect, the embodiment of the present application provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence realizes the artifact eliminating method as shown in first aspect when the program is executed by processor.
Fourth aspect, the embodiment of the present application provide a kind of terminal, including memory, and processor and storage are on a memory
And the computer program that can be run in processor, the processor are realized as shown in first aspect when executing the computer program
Artifact eliminating method.
The artifact cancellation scheme provided in the embodiment of the present application exposes first when detecting the long exposure image of acquisition long
A long exposure image is obtained by the first camera in light time, and is continuously acquired by second camera at least two first short
Exposure image；Then, at least two the first short exposed images according to the brightness adjustment of the long exposure image, obtain at least
Two the second short exposed images；Finally, being repaired in the long exposure image according at least two second short exposed images
The resource utilization of equipment is improved in artifact region.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of artifact eliminating method provided by the embodiments of the present application；
Fig. 2 is the flow diagram of another artifact eliminating method provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another artifact eliminating method provided by the embodiments of the present application；
Fig. 4 is the flow diagram of another artifact eliminating method provided by the embodiments of the present application；
Fig. 5 is the flow diagram of another artifact eliminating method provided by the embodiments of the present application；
Fig. 6 is the flow diagram of another artifact eliminating method provided by the embodiments of the present application；
Fig. 7 is a kind of structural schematic diagram of artifact cancellation element provided by the embodiments of the present application；
Fig. 8 is a kind of structural schematic diagram of mobile terminal provided by the embodiments of the present application.
Specific embodiment
Further illustrate the technical solution of the application below with reference to the accompanying drawings and specific embodiments.It is understood that
It is that specific embodiment described herein is used only for explaining the application, rather than the restriction to the application.It further needs exist for illustrating
, part relevant to the application is illustrated only for ease of description, in attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these
Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation
The processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.The processing can be with
Corresponding to method, function, regulation, subroutine, subprogram etc..
With the continuous development of mobile terminal, almost every mobile terminal is configured with camera function, is based on camera function
It can take pictures.Mobile terminal is intended to the process of taking pictures of automation, can automatically determine the time for exposure according to photo environment.
But discovery in use, with the increase of time for exposure, the mobile of the main body that is taken during exposure can be in the exposure ultimately generated
Artifact is generated in light image, causes exposure image unintelligible, and user needs to take pictures again at this time, is otherwise unable to get satisfied effect
Fruit, resource utilization ratio are low.Since any displacement for the main body that is taken during long exposure all can be to final exposure image
It has an impact, therefore it is required that the main body that is not only taken when shooting long exposure image cannot be subjected to displacement, and photographer also can not
To have excessive shake or movement, cause when user holds and takes pictures, the shooting effect of long exposure image is poor.
The embodiment of the present application provides a kind of artifact eliminating method, to the mobile terminal with dual camera, is able to use
One camera carries out long exposure, and continuously acquires at least two the first short exposures during long exposure using another camera
Light image obtains the second short exposed images after adjusting the first short exposed images brightness, according at least two continuous second short exposures
The artifact region in long exposure image is repaired in light image, improves the reliability of long exposure image, is avoided repeating to shoot, be mentioned
High resource utilization ratio.Photographer and the person of being taken do not need strictly to remain stationary simultaneously, and then improve long exposure and take pictures
Ease for use.Concrete scheme is as follows:
Fig. 1 is the flow diagram of artifact eliminating method provided by the embodiments of the present application, and this method is used to have double camera shootings
The mobile terminal of head carries out the case where long exposure is taken pictures, and this method can be executed by mobile terminal, which can be
Smart phone, tablet computer, wearable device, laptop etc., this method specifically comprises the following steps:
Step 110, when detecting that it is long within the long time for exposure by the first camera to obtain one when obtaining long exposure image
Exposure image, and at least two the first short exposed images are continuously acquired by second camera.
Wherein, the time for exposure of long exposure image is greater than the time for exposure of the first short exposed images.When triggering photographing instruction
When, mobile terminal determines the time for exposure according to current environment brightness.Time for exposure can be divided into long exposure and short exposure according to its duration
Light, when ambient brightness is higher, the time that lens module obtains image is shorter, is shot at this time using short exposure.Work as environment
When brightness is lower, the time that lens module obtains image is longer, is shot at this time using long exposure.In one embodiment,
The long time for exposure can be greater than 0.5 second, the illustrative long time for exposure can for 1 second, 15 seconds, 30 seconds, 10 minutes, 1 hour or
At least two hours etc..Correspondingly, short exposure time is less than long time for exposure, such as 0.2 second or 0.3 second.Optionally, long exposure
Time can be the integral multiple of short exposure time.The embodiment of the present application is determined mainly in mobile terminal through long exposure acquisition
The process of long exposure image.It can be determined whether to obtain long exposure image by detecting the time for exposure.Optionally, when obtaining exposure
Between, whether the detection time for exposure is greater than the default time for exposure.If detecting, the time for exposure is greater than default time for exposure (such as 1 second),
It then determines and obtains long exposure image.Optionally, whether detection user triggers long exposure instruction, if user triggers long exposure instruction,
It then confirmly detects and obtains long exposure image.
When obtaining long exposure image, to expose initial time at the beginning of long exposure, the end time of long exposure is
Expose dwell time.For the mobile terminal with dual camera, it is able to use a camera and carries out long exposure, use simultaneously
Another camera, to during exposure dwell time, synchronizes in exposure initial time and obtains at least two the first short exposed images.
Optionally, at least two the first short exposed images are continuously acquired according to prefixed time interval.Prefixed time interval can be fixation
Value, such as 50 milliseconds.Prefixed time interval can be determined according to long time for exposure and default first short exposed images quantity.It is exemplary
, by the long time for exposure divided by default first short exposed images quantity, obtain prefixed time interval.At this point, prefixed time interval
It is also the time for exposure of each first short exposed images.
Step 120, brightness adjustment at least two the first short exposed images according to long exposure image obtain at least two
Two short exposed images.
Since the time for exposure of short exposed images is shorter, the case where will appear its luminance shortage.At this point, getting
After long exposure image and at least two the first short exposed images, it is and long exposure diagram by the brightness adjustment of the first short exposed images
As consistent brightness.
Further, the hardware distance of the first camera and second camera is obtained.
When hardware distance is greater than default correction distance, to the long exposure image or at least two short exposed images
It is corrected.
On mobile terminal the setting position of dual camera may relatively close to may also be spaced farther out, when interval farther out when,
There are offset deviations for the object space that will appear in the image that two cameras are got.At this point, can be according to hardware distance and object
The image got away from correction dual camera.Optionally, second camera is corrected, the object for taking it and
One camera shoots the position consistency of object in the picture.
Step 130 repairs the artifact region in long exposure image according at least two the second short exposed images.
The posture information for obtaining the main body that is taken at least two the second short exposed images is believed according to there is most postures
The posture information for determining the main body that is taken in artifact region is ceased, and is determined according to the posture information for filling quilt in artifact region
Shoot the clear image of main body.Then, schemed in artifact region except clear according to the second short exposed images and long exposure image
It is repaired in region as other than.
Artifact eliminating method provided by the embodiments of the present application exposes first when detecting the long exposure image of acquisition long
A long exposure image is obtained by the first camera in time, and at least two the first short exposures are continuously acquired by second camera
Light image.Then, it according to the brightness adjustment of long exposure image at least two the first short exposed images, obtains at least two second short
Exposure image.Finally, repairing the artifact region in long exposure image according at least two the second short exposed images.Relative to only making
Carrying out long exposure shooting with a camera causes to occur, and the embodiment of the present application is directed to the mobile terminal with dual camera, energy
Long exposure enough is carried out using a camera, and using another camera during long exposure, continuously acquire at least two the
One short exposed images obtain the second short exposed images after adjusting the first short exposed images brightness, according at least two continuous the
Two short exposed images repair the artifact region in long exposure image, improve the reliability of long exposure image, avoid repeating
Shooting improves resource utilization ratio.Photographer and the person of being taken do not need strictly to remain stationary simultaneously, and then improve long expose
The ease for use that photo-beat is shone.At least two continuous second short exposed images can restore the more of main body that are taken during long exposure
Needle movement, reduction artifact region that can be more accurate based on continuous second short exposed images.
In addition, being obtained long exposure image and short exposed images simultaneously using two cameras can be obtained while long expose
It takes in the short exposed images for repairing artifact, since the imaging between two cameras is not interfere with each other, there are double camera shootings
The long exposure image and short exposed images (the first short exposed images and second short at unified moment can be obtained on the mobile terminal of head
Exposure image), and then more efficiently repair artifact.
Fig. 2 is a kind of flow diagram of artifact eliminating method provided by the embodiments of the present application, as to above-described embodiment
Further explanation, comprising:
Step 210, when detect obtain long exposure image when, determine that first takes the photograph according to angle information within the long time for exposure
As the overlapping viewfinder range of head and second camera.
Angle information is used to indicate the coverage of the first camera and second camera.First camera and the second camera shooting
Head can be respectively wide-angle lens and telephoto lens.In general, the coverage of the two is different.Due to needing in the embodiment of the present application
The long exposure image that the first camera obtains is repaired using at least two short exposed images that second camera obtains, it is therefore desirable to
The coverage of the two is adjusted to consistent.The first camera and second camera are adjusted according to the focus information of user's selection,
The overlapping viewfinder range of the first camera and second camera is set to reach maximum magnitude.
Step 220, in overlapping viewfinder range, a long exposure image is obtained by the first camera, and take the photograph by second
As head continuously acquires at least two the first short exposed images.
Step 230, brightness adjustment at least two the first short exposed images according to long exposure image obtain at least two
Two short exposed images.
Step 240 repairs the artifact region in long exposure image according at least two the second short exposed images.
Artifact eliminating method provided by the embodiments of the present application can adjust the model of finding a view of the first camera and second camera
It encloses, realizes that the two has overlapping viewfinder range, and repair in overlapping viewfinder range to artifact, improve the reparation of length exposure
Efficiency.
Fig. 3 is a kind of flow diagram of artifact eliminating method provided by the embodiments of the present application, as to above-described embodiment
Further explanation, comprising:
Step 310, when detecting that it is long within the long time for exposure by the first camera to obtain one when obtaining long exposure image
Exposure image, and at least two the first short exposed images are continuously acquired by second camera.
Step 320, brightness adjustment at least two the first short exposed images according to long exposure image obtain at least two
Two short exposed images.
Step 330, the weight for obtaining at least two the second short exposed images.
It can determine that the weight of the second short exposed images, such as the weight of long exposure early period are greater than long expose according to shooting sequence
The weight in light later period.
Step 340 determines target weight and clear image according to the weight of at least two the second short exposed images.
Wherein, target weight is numerical value the higher person in the weight of at least two the second short exposed images, and clear image is mesh
The image-region of artifact region is corresponded in the corresponding second short exposure figure of mark weight.Getting each second short exposed images
After weight, the weight of highest one or more second short exposed images of weight is determined as target weight.According to target weight
Corresponding second short exposed images determine clear image.
Step 350 determines that target position is believed according to the subject in corresponding second short exposed images of target weight
Breath.
The position of reference object in corresponding second short exposed images of target weight is determined as target position information.
Step 360 covers clear image to target position information.
It is determined in long exposure image according to the displacement of the subject at least two continuous second short exposed images
Artifact region.The corresponding foundation drawing of subject can be determined according to the corresponding second short exposed images content of target weight
Picture, for replacing the artifact region in long exposure image.Then, base image can be carried out by sharpening algorithm, difference arithmetic
Optimization, obtains clear image, which is filled into artifact region.
Step 370 carries out other regions in artifact region according at least two short exposed images and long exposure image
It repairs, other regions are the region in artifact region in addition to clear image.
It can be according to the identical bits in other second short exposed images and long exposure image for unlapped artifact region
The image set in region or neighbouring location area is repaired.
Artifact eliminating method provided by the embodiments of the present application, can be corresponding based on target weight after determining target weight
The second short exposed images determine clear image, artifact region is repaired based on clear image, improves long exposure image
Remediation efficiency.
Fig. 4 is a kind of flow diagram of artifact eliminating method provided by the embodiments of the present application, as to above-described embodiment
Further explanation, comprising:
Step 410, when detecting that it is long within the long time for exposure by the first camera to obtain one when obtaining long exposure image
Exposure image, and at least two the first short exposed images are continuously acquired by second camera.
Step 420, brightness adjustment at least two the first short exposed images according to long exposure image obtain at least two
Two short exposed images.
Step 430, the posture information for obtaining the main body that is taken at least two the second short exposed images.
The main body that is taken in each second short exposed images can be obtained by image analysis.According to the image for the main body that is taken
Region determines posture information.Posture information can be indicated by the pixel space for the main body occupancy that is taken.
Step 440, the weight that each second short exposed images are determined according to posture information.
It scores for each posture information, increases weight for the higher second short exposed images configuration of posture scoring.
Step 450 determines target weight and clear image according to the weight of at least two the second short exposed images.
Posture the second optimal short exposed images that score are determined as target weight.Use other the second short exposed images pair
The corresponding body region that is taken of target weight is repaired, and clear image is obtained.Scoring can be obtained by machine learning
, the scoring for determining different postures is acted by inputting largely preferably to take pictures.
Step 460 determines target position information according to target weight.
The location information of the corresponding main body that is taken of target weight is determined as target position information.
Step 470 covers clear image to target position information.
Step 480 carries out other regions in artifact region according at least two short exposed images and long exposure image
It repairs, other regions are the region in artifact region in addition to clear image.
Artifact eliminating method provided by the embodiments of the present application occurs during capable of being exposed according to the scoring selection length of posture
Optimum gesture determines clear image according to the optimum gesture and repairs to artifact region, improves the reparation of long exposure image
Efficiency.
Fig. 5 is a kind of flow diagram of artifact eliminating method provided by the embodiments of the present application, as to above-described embodiment
Further explanation, comprising:
Step 510, when detecting that it is long within the long time for exposure by the first camera to obtain one when obtaining long exposure image
Exposure image, and at least two the first short exposed images are continuously acquired by second camera.
Step 520, brightness adjustment at least two the first short exposed images according to long exposure image obtain at least two
Two short exposed images.
Step 530, the posture information for obtaining the main body that is taken at least two the second short exposed images.
Step 540, statistics have the number of frames of the second short exposed images of identical posture information.
Same posture information is identified, the quantity of the second short exposed images with identical posture information is carried out
Statistics, obtains number of frames.The corresponding number of frames of different postures is ranked up.
Step 550, the power that each second short exposed images are determined according to the corresponding number of frames of each second short exposed images
Weight.
The corresponding number of frames of different postures is ranked up.
Step 560 determines target weight and clear image according to the weight of at least two the second short exposed images.
The weight of the bigger posture information of number of frames is higher.Clear image is generated based on the highest posture information of weight.
Step 570 determines target position information according to target weight.
The position for the main body that is taken in the second short exposed images for having maximum number of frames is determined as target position information.
Step 580 covers clear image to target position information.
Step 590 carries out other regions in artifact region according at least two short exposed images and long exposure image
It repairs, other regions are the region in artifact region in addition to clear image.
Artifact eliminating method provided by the embodiments of the present application can be believed according to the most posture of frequency of occurrence during long exposure
It ceases and determines clear image, artifact region is repaired based on clear image, improves the remediation efficiency of long exposure image.
Fig. 6 is a kind of flow diagram of artifact eliminating method provided by the embodiments of the present application, as to above-described embodiment
Further explanation, comprising:
Step 610, when detecting that it is long within the long time for exposure by the first camera to obtain one when obtaining long exposure image
Exposure image, and at least two the first short exposed images are continuously acquired by second camera.
Step 620, brightness adjustment at least two the first short exposed images according to long exposure image obtain at least two
Two short exposed images.
Step 630 respectively scores to each second short exposed images.
It is scored according to the composition of the second short exposed images the second short exposed images.
Step 640, the weight that the second short exposed images are determined according to appraisal result.
Higher multiple second short exposed images of appraisal result score are chosen, higher preceding 40% scoring of such as scoring will
Score weight of the score as the second short exposed images.
Step 650 determines target weight and clear image according to the weight of at least two the second short exposed images.
The weight for highest second shortwave light image of scoring is determined as target weight.And according to second short exposed images
In the main body that is taken determine clear image.
Step 660 determines target position information according to target weight.
The body position that is taken in highest second shortwave light image of scoring is determined as target position information.
Step 670 covers clear image to target position information.
Step 680 carries out other regions in artifact region according at least two short exposed images and long exposure image
It repairs, other regions are the region in artifact region in addition to clear image.
Artifact eliminating method provided by the embodiments of the present application can determine that target is weighed based on the scoring of the second short exposed images
Weight, is determined clear image based on corresponding second short exposed images of target weight, is repaired based on clear image to artifact region
It is multiple, improve the remediation efficiency of long exposure image.
Fig. 7 is a kind of structural schematic diagram of artifact cancellation element provided by the embodiments of the present application.As shown in fig. 7, the device
It include: to obtain module 710, adjustment module 720 and repair module 730.
Module 710 is obtained, for passing through the first camera within the long time for exposure when detecting the long exposure image of acquisition
A long exposure image is obtained, and at least two the first short exposed images, the long exposure diagram are continuously acquired by second camera
The time for exposure of picture is greater than the time for exposure of first short exposed images；
Module 720 is adjusted, described in the brightness adjustment of the long exposure image for obtaining according to the acquisition module 710
At least two the first short exposed images obtain at least two the second short exposed images；
Repair module 730, for according to the adjustment module 720 obtain described at least two the second short exposed images repair
Artifact region in the multiple long exposure image.
Further, module 710 is obtained to be used for:
Determine that the overlapping of first camera and the second camera takes according to angle information within the long time for exposure
Scape range；
In the overlapping viewfinder range, a long exposure image is obtained by the first camera, and pass through second camera
Continuously acquire at least two the first short exposed images.
Further, module 710 is obtained to be used for:
Obtain the hardware distance of first camera and the second camera；
When the hardware distance is greater than default correction distance, to the long exposure image or at least two short exposures
Image is corrected.
Further, repair module 730 is used for
Obtain the weight of at least two second short exposed images；
Target weight and clear image, the target power are determined according to the weight of at least two second short exposed images
Weight is numerical value the higher person in the weight of at least two second short exposed images, and the clear image is the target weight pair
The image-region of the artifact region is corresponded in the second short exposure figure answered；
Target position information is determined according to the subject in corresponding second short exposed images of the target weight；
The clear image is covered to the target position information；
According at least two short exposed images and the long exposure image to other regions in the artifact region
It is repaired, other described regions are the region in the artifact region in addition to the clear image.
Further, repair module 730 is used to obtain the weight of at least two second short exposed images, comprising:
Obtain the posture information for the main body that is taken at least two second short exposed images；
The weight of each second short exposed images is determined according to the posture information.
Further, repair module 730 is used to determine the weight of each second short exposed images, packet according to the posture information
It includes:
Count the number of frames with the second short exposed images of identical posture information；
The weight of each second short exposed images is determined according to the corresponding number of frames of each second short exposed images.
Further, repair module 730 is used to obtain the weight of at least two second short exposed images, comprising:
It scores respectively each second short exposed images；
The weight of second short exposed images is determined according to appraisal result.
Artifact cancellation element provided by the embodiments of the present application obtains module first when detecting the long exposure image of acquisition
710 obtain a long exposure image by the first camera within the long time for exposure, and are continuously acquired at least by second camera
Two the first short exposed images；Then, adjustment module 720 is at least two the according to the brightness adjustment of the long exposure image
One short exposed images obtain at least two the second short exposed images；Finally, repair module 730 is according to described at least two second
Short exposed images repair the artifact region in the long exposure image.Long exposure shooting is carried out relative to a camera is only used
Causing to occur, the embodiment of the present application is directed to the mobile terminal with dual camera, and it is able to use a camera and carries out long exposure,
And at least two the first short exposed images are continuously acquired during long exposure using another camera, adjust the first short exposure
The second short exposed images are obtained after brightness of image, according at least two continuous second short exposed images in long exposure image
Artifact region is repaired, and the reliability of long exposure image is improved, and is avoided repeating to shoot, is improved resource utilization ratio.Simultaneously
Photographer and the person of being taken do not need strictly to remain stationary, and then improve the ease for use that long exposure is taken pictures.At least two continuous
The second short exposed images can restore the spininess movement of the main body that is taken during long exposure, be based on continuous second short exposure
Image can be more accurate reduction artifact region.In addition, obtaining long exposure image and short exposure simultaneously using two cameras
Image can obtain the short exposed images for repairing artifact while long exposure, since the imaging between two cameras is mutual
It does not interfere, therefore the long exposure image and short exposed images at unified moment can be obtained on the mobile terminal with dual camera
(the first short exposed images and the second short exposed images), and then more efficiently repair artifact.
Method provided by the aforementioned all embodiments of the application can be performed in above-mentioned apparatus, and it is corresponding to have the execution above method
Functional module and beneficial effect.The not technical detail of detailed description in the present embodiment, reference can be made to the aforementioned all implementations of the application
Method provided by example.
Fig. 8 is a kind of structural schematic diagram of terminal device provided by the embodiments of the present application.As shown in figure 8, the terminal can be with
Include: shell (not shown), memory 801, central processing unit (Central Processing Unit, CPU) 802 (again
Claim processor, hereinafter referred to as CPU), the computer program, the circuit that are stored on memory 801 and can be run on processor 802
Plate (not shown) and power circuit (not shown).The circuit board is placed in the space interior that the shell surrounds；
The CPU802 and the memory 801 are arranged on the circuit board；The power circuit, for for each of the terminal
Circuit or device power supply；The memory 801, for storing executable program code；The CPU802 described in reading by depositing
The executable program code stored in reservoir 801 runs program corresponding with the executable program code.
The terminal further include: Peripheral Interface 803, RF (Radio Frequency, radio frequency) circuit 805, voicefrequency circuit
806, loudspeaker 811, power management chip 808, input/output (I/O) subsystem 809, touch screen 812, other input/controls
Equipment 810 and outside port 804, these components are communicated by one or more communication bus or signal wire 807.
It should be understood that graphic terminal 800 is only an example of terminal, and terminal device 800 can be with
With than shown in the drawings more or less component, two or more components can be combined, or can have
Different component configurations.Various parts shown in the drawings can include one or more signal processings and/or dedicated integrated
It is realized in the combination of hardware, software or hardware and software including circuit.
Just provided in this embodiment below to be described in detail for a kind of terminal device, the terminal device is with intelligent hand
For machine.
Memory 801, the memory 801 can be accessed by CPU802, Peripheral Interface 803 etc., and the memory 801 can
It can also include nonvolatile memory to include high-speed random access memory, such as one or more disk memory,
Flush memory device or other volatile solid-state parts.
The peripheral hardware that outputs and inputs of equipment can be connected to CPU802 and deposited by Peripheral Interface 803, the Peripheral Interface 803
Reservoir 801.
I/O subsystem 809, the I/O subsystem 809 can be by the input/output peripherals in equipment, such as touch screen 812
With other input/control devicess 810, it is connected to Peripheral Interface 803.I/O subsystem 809 may include 8091 He of display controller
For controlling one or more input controllers 8092 of other input/control devicess 810.Wherein, one or more input controls
Device 8092 processed receives electric signal from other input/control devicess 810 or sends electric signal to other input/control devicess 810,
Other input/control devicess 810 may include physical button (push button, rocker buttons etc.), dial, slide switch, behaviour
Vertical pole clicks idler wheel.It is worth noting that input controller 8092 can with it is following any one connect: keyboard, infrared port,
The indicating equipment of USB interface and such as mouse.
Wherein, according to the working principle of touch screen and transmission information medium classification, touch screen 812 can for resistance-type,
Capacitor induction type, infrared-type or surface acoustic wave type.Classify according to mounting means, touch screen 812 can be with are as follows: external hanging type, built-in
Formula or monoblock type.Classify according to technical principle, touch screen 812 can be with are as follows: vector pressure sensing technology touch screen, resistive technologies touching
Touch screen, capacitance technology touch screen, infrared technology touch screen or surface acoustic wave technique touch screen.
Touch screen 812, the touch screen 812 are the input interface and output interface between user terminal and user, can
It is shown to user depending on output, visual output may include figure, text, icon, video etc..Optionally, touch screen 812 is by user
The electric signal (electric signal of such as contact surface) triggered on touch screen curtain, is sent to processor 802.
Display controller 8091 in I/O subsystem 809 receives electric signal from touch screen 812 or sends out to touch screen 812
Electric signals.Touch screen 812 detects the contact on touch screen, and the contact that display controller 8091 will test is converted to and is shown
The interaction of user interface object on touch screen 812, i.e. realization human-computer interaction, the user interface being shown on touch screen 812
Object can be the icon of running game, the icon for being networked to corresponding network etc..It is worth noting that equipment can also include light
Mouse, light mouse are the extensions for the touch sensitive surface for not showing the touch sensitive surface visually exported, or formed by touch screen.
RF circuit 805 is mainly used for establishing the communication of intelligent sound box Yu wireless network (i.e. network side), realizes intelligent sound box
Data receiver and transmission with wireless network.Such as transmitting-receiving short message, Email etc..
Voicefrequency circuit 806 is mainly used for receiving audio data from Peripheral Interface 803, which is converted to telecommunications
Number, and the electric signal is sent to loudspeaker 811.
Loudspeaker 811 is reduced to for intelligent sound box to be passed through RF circuit 805 from the received voice signal of wireless network
Sound simultaneously plays the sound to user.
Power management chip 808, the hardware for being connected by CPU802, I/O subsystem and Peripheral Interface are powered
And power management.
In the present embodiment, central processing unit 802 is used for:
When detecting the long exposure image of acquisition, a long exposure diagram is obtained by the first camera within the long time for exposure
Picture, and at least two the first short exposed images are continuously acquired by second camera, the time for exposure of the long exposure image is big
In the time for exposure of first short exposed images；
At least two the first short exposed images according to the brightness adjustment of the long exposure image obtain at least two
Two short exposed images；
The artifact region in the long exposure image is repaired according at least two second short exposed images.
Further, described that a long exposure image is obtained by the first camera within the long time for exposure, and pass through second
Camera continuously acquires at least two the first short exposed images, comprising:
Determine that the overlapping of first camera and the second camera takes according to angle information within the long time for exposure
Scape range；
In the overlapping viewfinder range, a long exposure image is obtained by the first camera, and pass through second camera
Continuously acquire at least two the first short exposed images.
Further, by the first camera obtain a long exposure image, and by second camera continuously acquire to
After few two the first short exposed images, further includes:
Obtain the hardware distance of first camera and the second camera；
When the hardware distance is greater than default correction distance, to the long exposure image or at least two short exposures
Image is corrected.
Further, the pseudo- shadow zone in the long exposure image is repaired according at least two second short exposed images
Domain, comprising:
Obtain the weight of at least two second short exposed images；
Target weight and clear image, the target power are determined according to the weight of at least two second short exposed images
Weight is numerical value the higher person in the weight of at least two second short exposed images, and the clear image is the target weight pair
The image-region of the artifact region is corresponded in the second short exposure figure answered；
Target position information is determined according to the subject in corresponding second short exposed images of the target weight；
The clear image is covered to the target position information；
According at least two short exposed images and the long exposure image to other regions in the artifact region
It is repaired, other described regions are the region in the artifact region in addition to the clear image.
Further, the weight of at least two the second short exposed images described in the acquisition, comprising:
Obtain the posture information for the main body that is taken at least two second short exposed images；
The weight of each second short exposed images is determined according to the posture information.
Further, the weight of each second short exposed images is determined according to the posture information, comprising:
Count the number of frames with the second short exposed images of identical posture information；
The weight of each second short exposed images is determined according to the corresponding number of frames of each second short exposed images.
Further, the weight of at least two the second short exposed images described in the acquisition, comprising:
It scores respectively each second short exposed images；
The weight of second short exposed images is determined according to appraisal result.
The embodiment of the present application also provides a kind of storage medium comprising terminal device executable instruction, and the terminal device can
It executes instruction when being executed by terminal device processor for executing a kind of artifact eliminating method, this method comprises:
When detecting the long exposure image of acquisition, a long exposure diagram is obtained by the first camera within the long time for exposure
Picture, and at least two the first short exposed images are continuously acquired by second camera, the time for exposure of the long exposure image is big
In the time for exposure of first short exposed images；
At least two the first short exposed images according to the brightness adjustment of the long exposure image obtain at least two
Two short exposed images；
The artifact region in the long exposure image is repaired according at least two second short exposed images.
Further, described that a long exposure image is obtained by the first camera within the long time for exposure, and pass through second
Camera continuously acquires at least two the first short exposed images, comprising:
Determine that the overlapping of first camera and the second camera takes according to angle information within the long time for exposure
Scape range；
In the overlapping viewfinder range, a long exposure image is obtained by the first camera, and pass through second camera
Continuously acquire at least two the first short exposed images.
Further, by the first camera obtain a long exposure image, and by second camera continuously acquire to
After few two the first short exposed images, further includes:
Obtain the hardware distance of first camera and the second camera；
When the hardware distance is greater than default correction distance, to the long exposure image or at least two short exposures
Image is corrected.
Further, the pseudo- shadow zone in the long exposure image is repaired according at least two second short exposed images
Domain, comprising:
Obtain the weight of at least two second short exposed images；
Target weight and clear image, the target power are determined according to the weight of at least two second short exposed images
Weight is numerical value the higher person in the weight of at least two second short exposed images, and the clear image is the target weight pair
The image-region of the artifact region is corresponded in the second short exposure figure answered；
Target position information is determined according to the subject in corresponding second short exposed images of the target weight；
The clear image is covered to the target position information；
According at least two short exposed images and the long exposure image to other regions in the artifact region
It is repaired, other described regions are the region in the artifact region in addition to the clear image.
Further, the weight of at least two the second short exposed images described in the acquisition, comprising:
Obtain the posture information for the main body that is taken at least two second short exposed images；
The weight of each second short exposed images is determined according to the posture information.
Further, the weight of each second short exposed images is determined according to the posture information, comprising:
Count the number of frames with the second short exposed images of identical posture information；
The weight of each second short exposed images is determined according to the corresponding number of frames of each second short exposed images.
Further, the weight of at least two the second short exposed images described in the acquisition, comprising:
It scores respectively each second short exposed images；
The weight of second short exposed images is determined according to appraisal result.
The computer storage medium of the embodiment of the present application, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with one or more programming languages or combinations thereof come write for execute the application operation computer
Program code, programming language include object oriented program language-such as Java, Smalltalk, C++, are also wrapped
Include conventional procedural programming language-such as " C " language or similar programming language.Program code can be complete
Ground executes on the user computer, partly executes on the user computer, executing as an independent software package, partially existing
Part executes on the remote computer or executes on a remote computer or server completely on subscriber computer.It is being related to
In the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or wide area
Net (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as utilize ISP
To be connected by internet).
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present application
The artifact that executable instruction is not limited to the described above eliminates operation, and artifact provided by the application any embodiment can also be performed
Relevant operation in removing method.
Note that above are only the preferred embodiment and institute's application technology principle of the application.It will be appreciated by those skilled in the art that
The application is not limited to specific embodiment described here, be able to carry out for a person skilled in the art it is various it is apparent variation,
The protection scope readjusted and substituted without departing from the application.Therefore, although being carried out by above embodiments to the application
It is described in further detail, but the application is not limited only to above embodiments, in the case where not departing from the application design, also
It may include more other equivalent embodiments, and scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. a kind of artifact eliminating method characterized by comprising
When detecting the long exposure image of acquisition, a long exposure image is obtained by the first camera within the long time for exposure, and
At least two the first short exposed images are continuously acquired by second camera, the time for exposure of the long exposure image is greater than described
The time for exposure of first short exposed images；
At least two the first short exposed images according to the brightness adjustment of the long exposure image obtain at least two second short
Exposure image；
The artifact region in the long exposure image is repaired according at least two second short exposed images.
2. artifact eliminating method according to claim 1, which is characterized in that described to be taken the photograph within the long time for exposure by first
As head one long exposure image of acquisition, and at least two the first short exposed images are continuously acquired by second camera, comprising:
Determine that the overlapping of first camera and the second camera is found a view model according to angle information within the long time for exposure
It encloses；
In the overlapping viewfinder range, a long exposure image is obtained by the first camera, and continuous by second camera
Obtain at least two the first short exposed images.
3. artifact eliminating method according to claim 1, which is characterized in that obtaining a long exposure by the first camera
Image, and after continuously acquiring at least two the first short exposed images by second camera, further includes:
Obtain the hardware distance of first camera and the second camera；
When the hardware distance is greater than default correction distance, to the long exposure image or at least two short exposed images
It is corrected.
4. artifact eliminating method according to claim 1, which is characterized in that according at least two second short exposure figures
As repairing the artifact region in the long exposure image, comprising:
Obtain the weight of at least two second short exposed images；
Determine that target weight and clear image, the target weight are according to the weight of at least two second short exposed images
Numerical value the higher person in the weight of at least two second short exposed images, the clear image are that the target weight is corresponding
The image-region of the artifact region is corresponded in second short exposure figure；
Target position information is determined according to the subject in corresponding second short exposed images of the target weight；
The clear image is covered to the target position information；
Other regions in the artifact region are carried out according at least two short exposed images and the long exposure image
It repairs, other described regions are the region in the artifact region in addition to the clear image.
5. artifact eliminating method according to claim 4, which is characterized in that at least two the second short exposures described in the acquisition
The weight of light image, comprising:
Obtain the posture information for the main body that is taken at least two second short exposed images；
The weight of each second short exposed images is determined according to the posture information.
6. artifact eliminating method according to claim 5, which is characterized in that determine that each second is short according to the posture information
The weight of exposure image, comprising:
Count the number of frames with the second short exposed images of identical posture information；
The weight of each second short exposed images is determined according to the corresponding number of frames of each second short exposed images.
7. artifact eliminating method according to claim 4, which is characterized in that at least two the second short exposures described in the acquisition
The weight of light image, comprising:
It scores respectively each second short exposed images；
The weight of second short exposed images is determined according to appraisal result.
8. a kind of artifact cancellation element characterized by comprising
Module is obtained, for obtaining one by the first camera within the long time for exposure when detecting the long exposure image of acquisition
Long exposure image, and at least two the first short exposed images are continuously acquired by second camera；
Module is adjusted, at least two the described in the brightness adjustment of the long exposure image for obtaining according to the acquisition module
One short exposed images obtain at least two the second short exposed images；
Repair module, for according to the adjustment module obtain described at least two the second short exposed images repair described long expose
Artifact region in light image.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The artifact eliminating method as described in any in claim 1-7 is realized when row.
10. a kind of terminal, including memory, processor and storage are on a memory and can be in the computer journey of processor operation
Sequence, which is characterized in that the processor realizes that artifact as claimed in claim 1 disappears when executing the computer program
Except method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810936334.8A CN109040524B (en) | 2018-08-16 | 2018-08-16 | Artifact eliminating method and device, storage medium and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810936334.8A CN109040524B (en) | 2018-08-16 | 2018-08-16 | Artifact eliminating method and device, storage medium and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109040524A true CN109040524A (en) | 2018-12-18 |
| CN109040524B CN109040524B (en) | 2021-06-29 |
Family
ID=64631761
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810936334.8A Expired - Fee Related CN109040524B (en) | 2018-08-16 | 2018-08-16 | Artifact eliminating method and device, storage medium and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109040524B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110958401A (en) * | 2019-12-16 | 2020-04-03 | 北京迈格威科技有限公司 | Super night scene image color correction method and device and electronic equipment |
| CN111970447A (en) * | 2020-08-25 | 2020-11-20 | 云谷（固安）科技有限公司 | Display device and mobile terminal |
| CN112153291A (en) * | 2020-09-27 | 2020-12-29 | 维沃移动通信有限公司 | Photographing method and electronic equipment |
| CN112689099A (en) * | 2020-12-11 | 2021-04-20 | 北京邮电大学 | Double-image-free high-dynamic-range imaging method and device for double-lens camera |
| WO2021138867A1 (en) * | 2020-01-09 | 2021-07-15 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method for electronic device with a plurality of cameras and electronic device |
| CN113472996A (en) * | 2020-03-31 | 2021-10-01 | 华为技术有限公司 | Picture transmission method and device |
| CN113658065A (en) * | 2021-08-09 | 2021-11-16 | Oppo广东移动通信有限公司 | Image noise reduction method and device, computer readable medium and electronic equipment |
| CN114339062A (en) * | 2021-12-29 | 2022-04-12 | 盯盯拍（深圳）技术股份有限公司 | Method and device for improving image definition of specific area and electronic equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101222584A (en) * | 2007-01-12 | 2008-07-16 | 三洋电机株式会社 | Apparatus and method for blur detection, and apparatus and method for blur correction |
| CN101637019A (en) * | 2007-03-09 | 2010-01-27 | 伊斯曼柯达公司 | Multiple lens camera providing a range map |
| CN103945145A (en) * | 2013-01-17 | 2014-07-23 | 三星泰科威株式会社 | Apparatus and method for processing image |
| CN104052905A (en) * | 2013-03-12 | 2014-09-17 | 三星泰科威株式会社 | Method and apparatus for processing image |
| US20140334741A1 (en) * | 2013-05-10 | 2014-11-13 | Samsung Techwin Co., Ltd. | Apparatus and method for image processing |
| CN104349069A (en) * | 2013-07-29 | 2015-02-11 | 广达电脑股份有限公司 | Method for shooting high dynamic range film |
| JP2015082675A (en) * | 2013-10-21 | 2015-04-27 | 三星テクウィン株式会社Ｓａｍｓｕｎｇ Ｔｅｃｈｗｉｎ Ｃｏ．， Ｌｔｄ | Image processing device and image processing method |
| CN105323425A (en) * | 2014-05-30 | 2016-02-10 | 苹果公司 | Scene motion correction in fused image systems |
| CN106331513A (en) * | 2016-09-06 | 2017-01-11 | 深圳美立知科技有限公司 | Method and system for acquiring high-quality skin image |
| US20170069060A1 (en) * | 2015-09-04 | 2017-03-09 | Apple Inc. | Temporal Multi-Band Noise Reduction |
| CN107820022A (en) * | 2017-10-30 | 2018-03-20 | 维沃移动通信有限公司 | A kind of photographic method and mobile terminal |
-
2018
- 2018-08-16 CN CN201810936334.8A patent/CN109040524B/en not_active Expired - Fee Related
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101222584A (en) * | 2007-01-12 | 2008-07-16 | 三洋电机株式会社 | Apparatus and method for blur detection, and apparatus and method for blur correction |
| CN101637019A (en) * | 2007-03-09 | 2010-01-27 | 伊斯曼柯达公司 | Multiple lens camera providing a range map |
| CN103945145A (en) * | 2013-01-17 | 2014-07-23 | 三星泰科威株式会社 | Apparatus and method for processing image |
| CN104052905A (en) * | 2013-03-12 | 2014-09-17 | 三星泰科威株式会社 | Method and apparatus for processing image |
| US20140334741A1 (en) * | 2013-05-10 | 2014-11-13 | Samsung Techwin Co., Ltd. | Apparatus and method for image processing |
| CN104349069A (en) * | 2013-07-29 | 2015-02-11 | 广达电脑股份有限公司 | Method for shooting high dynamic range film |
| JP2015082675A (en) * | 2013-10-21 | 2015-04-27 | 三星テクウィン株式会社Ｓａｍｓｕｎｇ Ｔｅｃｈｗｉｎ Ｃｏ．， Ｌｔｄ | Image processing device and image processing method |
| CN105323425A (en) * | 2014-05-30 | 2016-02-10 | 苹果公司 | Scene motion correction in fused image systems |
| US20170069060A1 (en) * | 2015-09-04 | 2017-03-09 | Apple Inc. | Temporal Multi-Band Noise Reduction |
| CN106331513A (en) * | 2016-09-06 | 2017-01-11 | 深圳美立知科技有限公司 | Method and system for acquiring high-quality skin image |
| CN107820022A (en) * | 2017-10-30 | 2018-03-20 | 维沃移动通信有限公司 | A kind of photographic method and mobile terminal |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110958401A (en) * | 2019-12-16 | 2020-04-03 | 北京迈格威科技有限公司 | Super night scene image color correction method and device and electronic equipment |
| CN110958401B (en) * | 2019-12-16 | 2022-08-23 | 北京迈格威科技有限公司 | Super night scene image color correction method and device and electronic equipment |
| WO2021138867A1 (en) * | 2020-01-09 | 2021-07-15 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method for electronic device with a plurality of cameras and electronic device |
| CN113472996A (en) * | 2020-03-31 | 2021-10-01 | 华为技术有限公司 | Picture transmission method and device |
| CN113472996B (en) * | 2020-03-31 | 2022-11-22 | 华为技术有限公司 | Picture transmission method and device |
| CN111970447A (en) * | 2020-08-25 | 2020-11-20 | 云谷（固安）科技有限公司 | Display device and mobile terminal |
| CN111970447B (en) * | 2020-08-25 | 2021-12-21 | 云谷（固安）科技有限公司 | Display device and mobile terminal |
| CN112153291A (en) * | 2020-09-27 | 2020-12-29 | 维沃移动通信有限公司 | Photographing method and electronic equipment |
| CN112689099A (en) * | 2020-12-11 | 2021-04-20 | 北京邮电大学 | Double-image-free high-dynamic-range imaging method and device for double-lens camera |
| CN113658065A (en) * | 2021-08-09 | 2021-11-16 | Oppo广东移动通信有限公司 | Image noise reduction method and device, computer readable medium and electronic equipment |
| CN113658065B (en) * | 2021-08-09 | 2024-07-23 | Oppo广东移动通信有限公司 | Image noise reduction method and device, computer readable medium and electronic equipment |
| CN114339062A (en) * | 2021-12-29 | 2022-04-12 | 盯盯拍（深圳）技术股份有限公司 | Method and device for improving image definition of specific area and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109040524B (en) | 2021-06-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109040524A (en) | Artifact eliminating method, device, storage medium and terminal | |
| US11838650B2 (en) | Photographing using night shot mode processing and user interface | |
| CN107580184B (en) | A kind of image pickup method and mobile terminal | |
| CN108377342A (en) | double-camera photographing method, device, storage medium and terminal | |
| CN109040523B (en) | Artifact eliminating method and device, storage medium and terminal | |
| JP6105953B2 (en) | Electronic device, line-of-sight input program, and line-of-sight input method | |
| CN106605403A (en) | Photographing method and electronic device | |
| CN107483836B (en) | A kind of image pickup method and mobile terminal | |
| CN109218626A (en) | A kind of photographic method and terminal | |
| CN108650457A (en) | Automatic photographing method, device, storage medium and mobile terminal | |
| CN106331502A (en) | Terminal and its filter photographing method and device | |
| CN109167893A (en) | Shoot processing method, device, storage medium and the mobile terminal of image | |
| CN109743506A (en) | A kind of image capturing method and terminal device | |
| CN110213484A (en) | A kind of photographic method, terminal device and computer readable storage medium | |
| CN108449541A (en) | A kind of panoramic picture image pickup method and mobile terminal | |
| CN109120864A (en) | Light filling processing method, device, storage medium and mobile terminal | |
| CN108683858A (en) | It takes pictures optimization method, device, storage medium and terminal device | |
| CN108665510A (en) | Rendering intent, device, storage medium and the terminal of continuous shooting image | |
| CN109040588A (en) | Photographic method, device, storage medium and the terminal of facial image | |
| CN109302563A (en) | Stabilization processing method, device, storage medium and mobile terminal | |
| CN109145849A (en) | A kind of fingerprint imaging method and device for terminal device | |
| CN108769538A (en) | Atomatic focusing method, device, storage medium and terminal | |
| CN112087725B (en) | Push message display method and device and storage medium | |
| CN109218620A (en) | Photographic method, device, storage medium and mobile terminal based on ambient brightness | |
| CN112468722B (en) | Shooting method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210629 |