CN109472763B - Image synthesis method and device - Google Patents

Abstract

A method of image synthesis, comprising: respectively determining neighborhoods of pixels to be mixed in an image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods; analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set; determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to elements in the effective pixel set; obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix; and synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm. An apparatus for image synthesis. The scheme can realize mixing of special images, and is high in flexibility and wide in application.

Description

Image synthesis method and device

Technical Field

The invention relates to the technical field of image processing, in particular to an image synthesis method and device.

Background

The blend mode may combine images with colors between images to create a variety of effects. The mixed mode is widely applied in the technical field of image processing, for example, a drawing tool and an editing and adjusting tool can be applied to the mixed mode to perform aliasing on two or more images, so that the mixed mode is effectively and flexibly applied, and the images are dazzling and colorful.

With the deep development and application of image processing technology, an image synthesis-based method is a long-lasting research hotspot. Poisson blending as described in the related art may result in color change and blending edge non-smoothness due to excessive force on maintaining the gradient of the original image under certain conditions. The related technology is further expanded on the basis of Poisson mixing to solve the phenomena of color change and unsmooth mixed edge. However, the image blending just performs aliasing based on the rule followed by most images, and blending is performed for special images, which lacks flexibility and wide applicability.

Disclosure of Invention

The embodiment of the invention provides an image synthesis method and device, which are used for mixing special images.

A method of image synthesis, comprising:

respectively determining neighborhoods of pixels to be mixed in an image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods;

analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set;

determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to elements in the effective pixel set;

obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

and synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm.

Optionally, the neighborhood candidate pixel set includes all pixels except for the pixel to be mixed in the neighborhood of the pixel to be mixed, and the neighborhood pixel set includes all pixels in the neighborhood candidate pixel set and the pixel to be mixed.

Optionally, the analyzing the valid pixels in the neighborhood candidate pixel set includes:

analyzing whether each pixel in the neighborhood candidate pixel set is valid according to the coefficient matrix of the neighborhood pixel set;

and determining effective pixels in the neighborhood candidate pixel set according to threshold values of all channels of the three primary colors.

Optionally, the determining effective pixels in the neighborhood candidate pixel set according to the threshold of each channel of the three primary colors includes:

determining an effective interval of each channel value of the three primary colors according to each channel value of the three primary colors corresponding to the pixel to be mixed and each channel threshold value of the three primary colors;

and if the channel values of the three primary colors corresponding to the pixels in the neighborhood candidate pixel set are in the corresponding effective interval, determining the pixels as effective pixels.

Optionally, the obtaining an effective blending value of the pixel to be blended according to the effective pixel set and the effective coefficient matrix includes:

and carrying out weighted average according to all elements in the effective pixel set and the coefficients of the effective coefficient matrix corresponding to the elements to obtain an effective mixed value of the pixel to be mixed.

Optionally, the mixed mode algorithm is:

P_out＝P″₁×α+P″₂x (255-a), wherein,

P_outis the result of the output after image blending, P ″)₁Is an effective blending value, P ″, of the pixel to be blended of a first image to be synthesized₂Alpha is a transparency coefficient, which is an effective blending value of the pixels to be blended of the second image to be synthesized.

An apparatus for image synthesis, comprising:

the first determining module is used for respectively determining neighborhoods of pixels to be mixed in the images to be synthesized and determining a neighborhood candidate pixel set from the neighborhoods;

the analysis module is used for analyzing effective pixels in the neighborhood candidate pixel set and determining the effective pixels and the pixels to be mixed as an effective pixel set;

a second determining module, configured to determine, according to the effective identifier corresponding to the element in the effective pixel set, an effective coefficient matrix corresponding to a neighborhood pixel set of the pixel to be mixed;

the obtaining module is used for obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

and the synthesis module is used for synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and the mixed mode algorithm.

Optionally, the neighborhood candidate pixel set includes all pixels except for the pixel to be mixed in the neighborhood of the pixel to be mixed, and the neighborhood pixel set includes all pixels in the neighborhood candidate pixel set and the pixel to be mixed.

Optionally, the analyzing module analyzes the valid pixels in the neighborhood candidate pixel set, and includes: analyzing whether each pixel in the neighborhood candidate pixel set is valid according to the coefficient matrix of the neighborhood pixel set; and determining effective pixels in the neighborhood candidate pixel set according to threshold values of all channels of the three primary colors.

Optionally, the determining, by the analysis module, effective pixels in the neighborhood candidate pixel set according to threshold values of channels of three primary colors includes: determining an effective interval of each channel value of the three primary colors according to each channel value of the three primary colors corresponding to the pixel to be mixed and each channel threshold value of the three primary colors; and if the channel values of the three primary colors corresponding to the pixels in the neighborhood candidate pixel set are in the corresponding effective interval, determining the pixels as effective pixels.

Optionally, the obtaining module obtains the effective blending value of the pixel to be blended according to the effective pixel set and the effective coefficient matrix, and includes: and carrying out weighted average according to all elements in the effective pixel set and the coefficients of the effective coefficient matrix corresponding to the elements to obtain an effective mixed value of the pixel to be mixed.

Optionally, the synthesis module is configured to, according to a mixed-mode algorithm: p_out＝P″₁×α+P″₂X (255- α), wherein P_outIs the result of the output after image blending, P ″)₁Is an effective blending value, P ″, of the pixel to be blended of a first image to be synthesized₂Alpha is a transparency coefficient, which is an effective blending value of the pixels to be blended of the second image to be synthesized.

An apparatus for image synthesis, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of:

respectively determining neighborhoods of pixels to be mixed in an image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods;

analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set;

determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to elements in the effective pixel set;

obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

and synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm.

In summary, embodiments of the present invention provide an image synthesis method and apparatus, which can mix special images, and have high flexibility and wide application.

Drawings

Fig. 1 is a flowchart of an image synthesis method according to a first embodiment of the present invention;

FIG. 2 is a diagram illustrating an image synthesis method according to a second embodiment of the present invention;

FIG. 3 is a diagram illustrating a determination of a neighborhood range according to an embodiment of the present invention;

fig. 4 is a schematic diagram of an image synthesizing apparatus according to a second embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.

Example one

Fig. 1 is a flowchart of an image synthesis method according to an embodiment of the present invention, and as shown in fig. 1, the method of this embodiment includes the following steps:

step 11, respectively determining neighborhoods of pixels to be mixed in the image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods;

step 12, analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set;

step 13, determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to the elements in the effective pixel set;

step 14, obtaining an effective mixing value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

and step 15, synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and the mixed mode algorithm.

The method of the embodiment overcomes the limitation of the prior art, mixes any sample image by using the pixel area, and can overcome the phenomena of color change and unsmooth edge. The threshold value can be customized or selected according to the pixel value, the neighborhood of the mixed pixel and the neighborhood coefficient matrix can be mixed, and the flexibility of the mixing rule can be improved.

Example two

The technical solution of the embodiment of the present invention is described in detail with a specific embodiment.

As shown in fig. 2, the method of the present embodiment includes the following steps:

step 101, determining a pixel neighborhood, and determining an N × M neighborhood of a pixel point P according to neighborhood range parameters h _ l, h _ r, v _ u and v _ d and a coordinate of the point P based on a coordinate (x, y) of a current mixed pixel point P.

And (3) setting the current mixed pixel point as P, setting the coordinate of the pixel point as (x, y), and confirming the N multiplied by M neighborhood range of the mixed pixel point P through 4 neighborhood range parameters of h _ l, h _ r, v _ u and v _ d.

Wherein h _ l represents the distance between the coordinate x of the pixel P and the left boundary of the neighborhood, h _ r represents the distance between the coordinate x of the pixel P and the right boundary of the neighborhood, v _ u represents the distance between the coordinate y of the pixel P and the upper boundary of the neighborhood, and v _ d represents the distance between the coordinate y of the pixel P and the lower boundary of the neighborhood, so that the horizontal domain of the mixed pixel P is [ x-h _ l, x + h _ r ], the vertical domain is [ y-v _ u, x + v _ d ], and the neighborhood is shown in fig. 3.

Step 102, determining a neighborhood candidate pixel set;

the neighborhood candidate pixel set is the non-P in the NxM neighborhood of the current mixed pixel point P as the candidate pixel set.

The pixel set S in the neighborhood of the point P can be determined from the coordinates (x, y) of the current mixed pixel point P and the neighborhood range parameters h _ l, h _ r, v _ u, and v _ d described in step 101As shown in table 1.

TABLE 1

The P neighborhood candidate pixel set of the point is a set of all non-P pixels in the P neighborhood of the mixed pixel point, and is recorded as U based on the neighborhood candidate pixel set。

Step 103, analyzing effective pixels;

set S of pixels from neighborhood of pixel point PCoefficient matrix D_pCalculating a candidate set of pixels UWhether each pixel in the previous result is valid is further confirmed based on each channel threshold value, and then a candidate pixel set U is used for judging whether each pixel in the previous result is validThe middle effective pixel and the pixel point P form an effective pixel set of the P point。

Let each channel threshold of three primary colors be R_min、R_max、G_min、G_max、B_min、B_maxMixed pixel P neighborhood set SCoefficient matrix is D_p。R_min、R_max、G_min、G_max、B_min、B_max、 D_pThe parameter is a candidate pixel set U as a neighborhood of the point PWhether each pixel in (a) is a valid metric.

The effective pixel analysis can be divided into the following steps:

step 103.1, from the set of pixels SCoefficient matrix is D_pComputing a set of candidate pixels UWhether each pixel in (1) is valid;

set of pixels SCoefficient matrix is D_pAre known and will not be described here.

Assuming that the width of the neighborhood of point P is n and the height is m, it can be obtained from step 101:

n＝h_l+h_r+1，

m＝v_u+v_d+1，

there is a mixed pixel P neighborhood set SCorresponding coefficient matrix D_pComprises the following steps:

f for installation_UMatrix representation pixel set UWhether each pixel in (1) is valid, F_UComprises the following steps:

at F_UIn the matrix, the coordinate P of the current mixed pixel point is an effective flag corresponding to (x, y)_i，jAnd (wherein i ═ x-h _ l +1, j ═ y-v _ u +1) is always 1. And candidate pixel set UMiddle pixel P_i，jThe corresponding valid flag is flag_i，jWherein i is more than or equal to 1 and less than or equal to n, i is not equal to x-h _ l +1, j is more than or equal to 1 and less than or equal to m, and j is not equal to y-v _ u + 1. Based on candidate pixel set UMiddle pixel P_i，jCorresponding coefficient matrix is D_pIn d_i，jWherein i is not less than 1 and not more than n and i is not equal to x-h _ l +1, j is not less than 1 and not more than m and j is not equal to y-v _ u +1, if d_i，j0, then the corresponding flag_i，j＝0。

Step 103.2, calculating candidate pixel set U based on each channel threshold valueWhether each pixel in (1) is valid;

let each channel value corresponding to the current mixing point P be r_p、g_p、b_pCandidate set of pixels UMiddle pixel P_i，jCorresponding each channel value is r_i，j、g_i，j、b_i，jWherein i is more than or equal to 1 and less than or equal to n, i is not equal to x-h _ l +1, j is more than or equal to 1 and less than or equal to m, and j is not equal to y-v _ u + 1. By calculating r_p、g_p、b_pAnd a threshold value R_min，R_max，G_min，G_max，B_min，B_maxRespectively obtaining the effective intervals of the r channel values

Valid interval of values of g-channel

Valid interval of b channel value

Valid interval of r channel values

Valid interval of values of g-channel

Valid interval of b channel value

Step 103.3, based on the valid intervals respectively corresponding to r, g and b

By judging candidate pixel set UMiddle pixel P_i，jCorresponding each channel value is r_i，j、g_i，j、b_i，jWhether or not it falls within the valid interval

Further calculation of F in step 103.1_UElement flag in matrix_i，jWhether the value is 0. If P_i，jCorresponding flag_i，jIs 1, then P_i，jAre valid candidates. And the current mixed pixel P is always the effective pixel, then P is_i，jAnd the pixel point P forms an effective pixel set of the P point。

Step 104, determine blendingSet of pixels S in neighborhood of pixel PThe corresponding significant coefficient matrix D ″_P；

From the set of active pixels in step 103Effective identification corresponding to middle element determines pixel set SThe corresponding significant coefficient matrix D ″_P. Confirmation of F from step 103.2_UFlag in matrix_i，jThe value (i is more than or equal to 1 and less than or equal to n, j is more than or equal to 1 and less than or equal to m) determines D_pWhether each element is valid.

Let effective coefficient matrix D_PComprises the following steps:

then there are:

wherein i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to m.

Step 105, determining an effective mixing value;

the effective blending value being a set of effective pixelsAnd carrying out weighted average on all the elements and the corresponding coefficients to obtain an effective mixed value of the mixed pixel point P.

Setting effective pixel setThe sum of the weights corresponding to the elements is count _ num, and the effective mixed value corresponding to the current mixed pixel P point is P', then:

step 106, image mixing is carried out, and P' of the foreground image (src) is passed_srcAnd P "of the background image (dst)_dstAnd carrying out image aliasing by using the transparency coefficient alpha, wherein the formula is as follows:

P_out＝P″_src×α+P″_dst×(255-α)

foreground image neighborhood parameter h_srcAnd v_srcIs a mixed pixel point P_srcNeighborhood zone_srcWidth and height ofPast current mixed pixel point P_srcCoordinate (x) of_src，y_src) And neighborhood range parameter h _ l_src、h_r_src、v_u_srcAnd v _ d_srcCalculating to obtain a mixed pixel point P_srcNeighborhood of (2)_src. Then mix pixel point P_srcIn the horizontal direction of [ x ]_src-h_l_src，x_src+h_r_src]The vertical direction field is [ y_src-v_u_src，y_src+ v_d_src]。

Background image neighborhood parameter h_dstAnd v_dstIs a mixed pixel point P_dstNeighborhood zone_dstBy the current mixed pixel point P_dstCoordinate (x) of_dst，y_dst) And neighborhood range parameter h _ l_dst、h_r_dst、v_u_dstAnd v _ d_dstCalculating to obtain a mixed pixel point P_dstNeighborhood of (2)_dst. Then mix pixel point P_dstIn the horizontal direction of [ x ]_dst-h_l_dst，x_dst+h_r_dst]The vertical direction field is [ y_dst-v_u_dst，y_dst+ v_d_dst]。

Neighborhood of foreground images_srcIs U_srcNeighborhood of background image_dstIs the set of candidate pixels in

Foreground image neighborhood_srcSet of pixels S_srcIs recorded as a coefficient matrix of

The threshold value of each channel of the three primary colors is respectively

By

And determining candidate pixel set by three primary color each channel threshold value

Of the effective pixel, candidate pixel set U_srcEffective pixel and point P_srcEffective pixel set constituting foreground image

Thereby obtaining a pixel set

Corresponding significant coefficient matrix

Background image neighborhood candidate pixel set

Is recorded as a coefficient matrix of

The threshold value of each channel of the three primary colors is respectively

By

And determining candidate pixel set by three primary color each channel threshold value

Of the effective pixel, a candidate pixel set

Effective pixel and point P_dstEffective pixel set constituting dst

Thereby obtaining a pixel set

Corresponding significant coefficient matrix

From the above-mentioned set of pixels S_srcCorresponding significant coefficient matrix

And a set of pixels

Corresponding significant coefficient matrix

An effective pixel set can be obtained

The sum of the corresponding weights of the elements is sum_srcAnd an effective pixel set

The sum of the corresponding weights of the elements is sum_dst。

There is a foreground image mixed pixel point P_srcThe corresponding effective mixing value is P ″)_srcComprises the following steps:

background image mixed pixel point P_dstThe corresponding effective mixing value is P ″)_dstComprises the following steps:

p' through the foreground image_srcAnd P' of background image_dstAnd coefficient alpha is used for carrying out image aliasing to obtain P_out：

P_out＝P″_src×α+P″_dst×(255-α)

Compared with the prior art, the method provided by the embodiment of the invention has the advantages that the threshold value is customized or the threshold value, the neighborhood of the mixed pixel and the neighborhood coefficient matrix are selected according to the pixel value, so that the flexibility and the wide applicability of image mixing are improved while the image edge is smooth, the color change phenomenon is avoided, and the texture of the image is kept.

Fig. 4 is a schematic diagram of an image synthesizing apparatus according to an embodiment of the present invention, and as shown in fig. 4, the apparatus of the embodiment includes:

the first determining module is used for respectively determining neighborhoods of pixels to be mixed in the images to be synthesized and determining a neighborhood candidate pixel set from the neighborhoods;

the analysis module is used for analyzing effective pixels in the neighborhood candidate pixel set and determining the effective pixels and the pixels to be mixed as an effective pixel set;

a second determining module, configured to determine, according to the effective identifier corresponding to the element in the effective pixel set, an effective coefficient matrix corresponding to a neighborhood pixel set of the pixel to be mixed;

the obtaining module is used for obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

and the synthesis module is used for synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and the mixed mode algorithm.

The device of the embodiment overcomes the limitation of the prior art, utilizes the pixel area to mix any sample image, and can overcome the phenomena of color change and uneven edge. The threshold value can be customized or selected according to the pixel value, the neighborhood of the mixed pixel and the neighborhood coefficient matrix can be mixed, and the flexibility of the mixing rule can be improved.

In an embodiment, the neighborhood candidate set of pixels includes all pixels in the neighborhood of the pixel to be mixed except the pixel to be mixed, and the neighborhood set of pixels includes all pixels in the neighborhood candidate set of pixels and the pixel to be mixed.

In one embodiment, the analyzing module analyzes the valid pixels in the neighborhood candidate set, including: analyzing whether each pixel in the neighborhood candidate pixel set is valid according to the coefficient matrix of the neighborhood pixel set; and determining effective pixels in the neighborhood candidate pixel set according to threshold values of all channels of the three primary colors.

In an embodiment, the determining, by the analysis module, effective pixels in the neighborhood candidate pixel set according to threshold values of channels of three primary colors includes: determining an effective interval of each channel value of the three primary colors according to each channel value of the three primary colors corresponding to the pixel to be mixed and each channel threshold value of the three primary colors; and if the channel values of the three primary colors corresponding to the pixels in the neighborhood candidate pixel set are in the corresponding effective interval, determining the pixels as effective pixels.

In an embodiment, the obtaining module obtains the effective blending value of the pixel to be blended according to the effective pixel set and the effective coefficient matrix, and includes: and carrying out weighted average according to all elements in the effective pixel set and the coefficients of the effective coefficient matrix corresponding to the elements to obtain an effective mixed value of the pixel to be mixed.

In one embodiment, the synthesis module is based on a mixed-mode algorithm that:

P_out＝P″₁×α+P″₂x (255-a), wherein,

P_outis the result of the output after image blending, P ″)₁Is an effective blending value, P ″, of the pixel to be blended of a first image to be synthesized₂Alpha is a transparency coefficient, which is an effective blending value of the pixels to be blended of the second image to be synthesized.

An embodiment of the present invention further provides an image synthesis apparatus, including: memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of:

respectively determining neighborhoods of pixels to be mixed in an image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods;

analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set;

determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to elements in the effective pixel set;

obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

and synthesizing the images to be synthesized according to the effective mixing values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm.

Embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions, which when executed implement the method for image synthesis.

It will be understood by those skilled in the art that all or part of the steps of the above methods may be implemented by instructing the relevant hardware through a program, and the program may be stored in a computer readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, each module/unit in the above embodiments may be implemented in the form of hardware, and may also be implemented in the form of a software functional module. The present invention is not limited to any specific form of combination of hardware and software.

The foregoing is only a preferred embodiment of the present invention, and naturally there are many other embodiments of the present invention, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and the essence of the present invention, and these corresponding changes and modifications should fall within the scope of the appended claims.

Claims (9)

1. A method of image synthesis, comprising:

respectively determining neighborhoods of pixels to be mixed in an image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods;

analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set;

determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to elements in the effective pixel set;

obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

synthesizing the images to be synthesized according to the effective mixed values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm;

wherein said analyzing the active pixels in the neighborhood candidate set comprises:

analyzing whether each pixel in the neighborhood candidate pixel set is valid according to the coefficient matrix of the neighborhood pixel set;

determining an effective interval of each channel value of the three primary colors according to each channel value of the three primary colors corresponding to the pixel to be mixed and each channel threshold value of the three primary colors;

and if the channel values of the three primary colors corresponding to the pixels in the neighborhood candidate pixel set are in the corresponding effective interval, determining the pixels as effective pixels.

2. The method of claim 1, wherein:

the neighborhood candidate pixel set comprises all pixels except the pixel to be mixed in the neighborhood of the pixel to be mixed, and the neighborhood pixel set comprises all pixels in the neighborhood candidate pixel set and the pixel to be mixed.

3. The method of claim 1, wherein: the obtaining the effective mixing value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix comprises:

and carrying out weighted average according to all elements in the effective pixel set and the coefficients of the effective coefficient matrix corresponding to the elements to obtain an effective mixed value of the pixel to be mixed.

4. The method of claim 1, wherein: the mixed mode algorithm is as follows:

P_out＝P″₁×α+P″₂x (255-a), wherein,

P_outis the result of the output after image blending, P ″)₁Is an effective blending value, P ″, of the pixel to be blended of a first image to be synthesized₂Alpha is a transparency coefficient, which is an effective blending value of the pixels to be blended of the second image to be synthesized.

5. An apparatus for image synthesis, comprising:

the first determining module is used for respectively determining neighborhoods of pixels to be mixed in the images to be synthesized and determining a neighborhood candidate pixel set from the neighborhoods;

the analysis module is used for analyzing effective pixels in the neighborhood candidate pixel set and determining the effective pixels and the pixels to be mixed as an effective pixel set;

a second determining module, configured to determine, according to the effective identifier corresponding to the element in the effective pixel set, an effective coefficient matrix corresponding to a neighborhood pixel set of the pixel to be mixed;

the obtaining module is used for obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

the synthesis module is used for synthesizing the images to be synthesized according to the effective mixed values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm;

the analysis module analyzes the valid pixels in the neighborhood candidate set of pixels, including: analyzing whether each pixel in the neighborhood candidate pixel set is valid according to the coefficient matrix of the neighborhood pixel set; determining an effective interval of each channel value of the three primary colors according to each channel value of the three primary colors corresponding to the pixel to be mixed and each channel threshold value of the three primary colors; and if the channel values of the three primary colors corresponding to the pixels in the neighborhood candidate pixel set are in the corresponding effective interval, determining the pixels as effective pixels.

6. The apparatus of claim 5, wherein:

the neighborhood candidate pixel set comprises all pixels except the pixel to be mixed in the neighborhood of the pixel to be mixed, and the neighborhood pixel set comprises all pixels in the neighborhood candidate pixel set and the pixel to be mixed.

7. The apparatus of claim 5, wherein:

the obtaining module obtains the effective mixing value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix, and includes: and carrying out weighted average according to all elements in the effective pixel set and the coefficients of the effective coefficient matrix corresponding to the elements to obtain an effective mixed value of the pixel to be mixed.

8. The apparatus of any one of claims 5-7, wherein:

the synthesis module is based on a mixed mode algorithm as follows: p_out＝P″₁×α+P″₂X (255- α), wherein P_outIs the result of the output after image blending, P ″)₁Is an effective blending value, P ″, of the pixel to be blended of a first image to be synthesized₂Alpha is a transparency coefficient, which is an effective blending value of the pixels to be blended of the second image to be synthesized.

9. An apparatus for image synthesis, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of:

respectively determining neighborhoods of pixels to be mixed in an image to be synthesized, and determining a neighborhood candidate pixel set from the neighborhoods;

analyzing effective pixels in the neighborhood candidate pixel set, and determining the effective pixels and the pixels to be mixed as an effective pixel set;

determining an effective coefficient matrix corresponding to a neighborhood pixel set of the pixels to be mixed according to effective identifications corresponding to elements in the effective pixel set;

obtaining an effective mixed value of the pixel to be mixed according to the effective pixel set and the effective coefficient matrix;

synthesizing the images to be synthesized according to the effective mixed values of the pixels to be mixed of the images to be synthesized and a mixed mode algorithm;

wherein said analyzing the active pixels in the neighborhood candidate set comprises:

analyzing whether each pixel in the neighborhood candidate pixel set is valid according to the coefficient matrix of the neighborhood pixel set;

determining an effective interval of each channel value of the three primary colors according to each channel value of the three primary colors corresponding to the pixel to be mixed and each channel threshold value of the three primary colors;

and if the channel values of the three primary colors corresponding to the pixels in the neighborhood candidate pixel set are in the corresponding effective interval, determining the pixels as effective pixels.

Images