CN108418997B - Method for removing image moire - Google Patents
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- CN108418997B CN108418997B CN201810095867.8A CN201810095867A CN108418997B CN 108418997 B CN108418997 B CN 108418997B CN 201810095867 A CN201810095867 A CN 201810095867A CN 108418997 B CN108418997 B CN 108418997B
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- 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
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- H—ELECTRICITY
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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Abstract
The embodiment of the invention provides a method for removing image moire, which comprises the steps of processing a shot image to obtain a first image, wherein the first image is an image part of a picture displayed by a panel in the shot image; analyzing luminance of the first image, the first image being represented by a first matrix, values of elements of the first matrix corresponding to luminance values of pixels of the first image, respectively; setting a central symmetry sequence to carry out convolution transformation on the first matrix in at least two directions to obtain at least two convolved matrices; judging whether the two matrixes after convolution are converged or not; if not, continuing the convolution operation until the obtained matrix after the convolution is converged; a second image with moir é removed is obtained from the converged matrix. The invention applies convolution algorithm, one pixel estimates the actual brightness through itself and its nearby pixel points until the matrix is converged, and reduces or eliminates the influence of Moire pattern on the image.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method for removing image moire.
Background
In a display panel such as a liquid crystal panel or an organic EL panel, images and/or videos are displayed by different switching patterns of pixels (pixels) having R (red), G (green), and B (blue) sub-pixels, wherein three primary colors of R (red), G (green), and B (blue) constituting light are generally used, and a part of products are added with W (white) or Y (yellow) to obtain a wider color gamut or brightness expression. In general, in such a display panel, it is inevitable that there is a variation in processing accuracy in the manufacturing process, resulting in display unevenness.
The display unevenness is roughly classified into luminance unevenness and color unevenness. The luminance unevenness causes a luminance gradient between adjacent pixels. The relative luminance relationship of R, G, B (W, Y) where color unevenness occurs in each pixel has a gradient. In particular, in the organic EL panel processing process, it is difficult to make the thickness of the organic compound layer uniform for each pixel, and therefore, the characteristic of regional display unevenness due to the non-uniform thickness of the organic compound layer is likely to occur.
As a countermeasure against this, patent document (CN105575326A) proposes a luminance measurement method of acquiring a luminance matrix of a display panel at least three gray levels; determining a brightness uniform area and a brightness non-uniform area according to the brightness matrix; measuring an actually measured Gamma curve of the brightness uniform region, and calculating a fitting Gamma value corresponding to each pixel point in the brightness non-uniform region at least three gray scales according to the brightness matrix; respectively fitting according to the actually measured Gamma curve and the fitted Gamma value to obtain a fitted Gamma curve of each pixel point in the area with uneven brightness; and performing brightness calibration on the area with uneven brightness according to the fitted Gamma curve of each pixel point. Through the mode, the invention can improve the precision of calibrating the uneven brightness and improve the calibration efficiency.
Patent literature (WO2013159377 a1) proposes another detection method, which obtains spatial illuminance values generated at a plurality of positions of a detection machine when a backlight module arranged on the detection machine is in a standard luminance, and takes the spatial illuminance values as standard spatial illuminance values (S201); acquiring real-time spatial illuminance values generated by the backlight module at the plurality of positions (S202); comparing the real-time spatial illuminance value with the standard spatial illuminance value to determine whether the backlight module is abnormal (S203). The detection method adopts the illuminance measuring instrument to replace a brightness measuring instrument, so that the cost is saved. However, in all of the above methods, it is necessary to use a solid-state imaging device (CCD or CMOS) camera having a periodic arrangement to capture an image of a display panel having pixels arranged periodically, and in this case, the period of the camera pixel arrangement and the period of the display panel arrangement cannot be matched with each other, and thus, the captured images interfere with each other, and such interference fringes are referred to as Moire (Moire) in the art.
If the luminance of a pixel is measured based on a captured image in which moire has occurred, the luminance may not be measured correctly because the luminance of a pixel located at a position corresponding to moire on a display panel is measured to be too dark, and the like.
As a countermeasure against this, patent document (CN106664359A) discloses the following method: an image is captured in a state where moire fringes (M) generated at the time of focusing and capturing are generated, a spatial frequency component corresponding to the moire fringes (M) is removed from the captured image by a high-pass filter (12) to generate a1 st image, the captured image is defocused by a camera (2) to capture an image, a low-pass filter (13) is applied to the captured image to generate a 2 nd image, and the 1 st image and the 2 nd image are combined to generate a 3 rd image in which the moire fringes (M) are eliminated or suppressed. However, the moire removal method of the above patent document (CN106664359A) is complicated in operation and requires a special machine platform.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method for removing moire in an image, so as to solve the problem that a display panel in the prior art is susceptible to moire and display unevenness occurs.
The preferred embodiment of the present invention provides:
processing a shot image to obtain a first image, wherein the first image is an image part of a picture displayed by a panel in the shot image;
analyzing luminance of the first image, the first image being represented by a first matrix, values of elements of the first matrix corresponding to luminance values of pixels of the first image, respectively;
setting a central symmetry sequence to carry out convolution transformation on the first matrix in at least two directions to obtain at least two convolved matrices;
judging whether the two matrixes after convolution are converged or not;
if not, continuing the convolution operation until the obtained matrix after the convolution is converged;
a second image with moir é removed is obtained from the converged matrix.
Further, the processing the shot image to obtain the first image specifically includes:
fixing a panel, wherein the panel displays a pure-color picture, shooting the panel by using a collector to obtain a shot image, all pictures displayed by the panel enter the scene, and a plane coordinate system of the shot image is overlapped with a plane coordinate system of the collector;
and cutting out the panel and the image part at the periphery of the panel in the shot image by taking the panel presented in the shot image as a boundary, and remaining the part of the image displayed by the panel in the shot image.
Further, the setting of the central symmetric sequence to perform convolution transformation on the first matrix in at least two directions specifically includes:
setting a group of central symmetry array to carry out convolution transformation on the row direction of the first matrix to obtain a third matrix;
and carrying out convolution transformation on the column direction of the first matrix by applying the same group of centrosymmetric number columns to obtain a fourth matrix.
Further, the central symmetry sequence is expressed as:
Mn、...、M3、M2、M1、M2、M3、...、Mn，
wherein n is determined according to the number H of elements of convolution, H is 2n + 1;
M1-Mn are sequentially decreased progressively, and satisfy:
m1+2 xm 2+2 xm 3+. +2 xmn ═ C, where C is a fixed value.
Further, the set group of centrosymmetric sequence performs convolution transformation on the row direction of the first matrix, and the pseudo code is represented as:
Jx(i)y(i)1＝Mn×Jx(i)y(i-n+1)+...+M3×Jx(i)y(i-2)+M2×Jx(i)y(i-1)+M1×Jx(i)y(i)+M2×Jx(i)y(i+1)+M3×Jx(i)y(i+2)+...+Mn×Jx(i)y(i+n-1)。
further, C is 1.
Furthermore, the decreasing rule of M1-Mn accords with Gaussian distribution.
Further, the central symmetry number sequence is an arithmetic, geometric or fibonacci number sequence.
The invention has the following beneficial effects:
the method comprises the steps of shooting an image on a panel, representing the image by a first matrix related to brightness values, applying a convolution algorithm, and estimating actual brightness of a pixel through the pixel and nearby pixels, so that the influence of moire fringes on the image is reduced or eliminated. Has the advantages of convenient operation and good Moire removing effect.
Detailed Description
The embodiments described below are only a part of the embodiments of the present invention, and not all of them. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.
A method of removing moir é in an image, comprising:
s1, processing the shot image to obtain a first image, wherein the first image is the image part of the picture displayed by the panel in the shot image;
s2, analyzing the brightness of the first image, the first image being represented by a first matrix, the values of the elements of the first matrix corresponding to the brightness values of the pixels of the first image, respectively;
s3, setting a central symmetry sequence to carry out convolution transformation on the first matrix in at least two directions to obtain at least two convolved matrices;
s4, judging whether the two matrixes after convolution converge or not;
s5, if not, continuing the convolution operation until the obtained matrix after convolution converges;
and S6, obtaining a second image with the moire removed according to the converged matrix.
The method comprises the steps of shooting an image on a panel, representing the image by a first matrix related to brightness values, applying a convolution algorithm, and estimating actual brightness of a pixel through the pixel point of the pixel and the pixel point nearby the pixel until the matrix converges, so that the influence of moire fringes on the image is reduced or eliminated. Has the advantages of convenient operation and good Moire removing effect.
In step S1, the method specifically includes:
s11, fixing the panel, displaying a pure color picture on the panel, shooting the panel by using a collector to obtain a shot image, wherein all pictures displayed by the panel enter the room, and the plane coordinate system of the shot image is superposed with the plane coordinate system of the collector;
in the embodiment, a rack is designed, a panel is stably placed on the rack, a high-precision camera is used for shooting a picture displayed by the panel from a fixed distance in a good focusing mode, and a clear shot image is obtained. The panel is a display panel such as a liquid crystal panel or an organic EL panel, and it is necessary to enter all of the display screens of the panel. The coordinate system X-Y of the captured image is also required to exactly coincide with the coordinate system X-Y of the camera, and in particular, the relationship between the gantry and the camera fixed position can be set by a specific panel structure so that the captured image coincides with the coordinate system of the camera. Of course, after the image is captured, the captured image may be subjected to fine adjustment rotation by an algorithm or the like so that the captured image coincides with the coordinate system of the camera.
And S12, cutting out the panel and the image part of the outer periphery of the panel in the shot image by taking the panel presented in the shot image as a boundary, and remaining the part of the image displayed by the panel in the shot image.
In step S2, the method specifically includes:
s21, presetting the resolution of the first image, and determining the brightness value of each pixel of the first image;
the display resolution of a general panel is different from the resolution of a collector (such as a camera), and the resolution of the preset first image can be directly the display resolution of the panel or any other resolution. Preferably, the preset resolution of the first image is close to the display resolution of the panel, which is beneficial to improving the accuracy of the analysis result.
S22, representing the first image by a first matrix;
the rows of the first matrix correspond to the rows of the resolution of the first image and the columns of the first matrix also correspond to the columns of the resolution of the first image. I.e. the number of rows of the first matrix is the same as the number of resolution rows of the first image and the number of columns of the first matrix is also the same as the number of resolution columns of the first image. And the values of the elements in the first matrix correspond to the luminance values of the pixels of the first image, respectively.
For example, if the resolution of the first image is 3000x4000, x in the first matrix Pxy1 is 1-3000, and y is 1-4000. And the numerical value of each first element is the brightness value of the corresponding pixel point of the first image.
Step S3, specifically including:
s31, a group of central symmetry sequence is set to carry out convolution transformation on the row direction of the first matrix to obtain a third matrix;
and S32, performing convolution transformation on the column direction of the first matrix by applying the same group of centrosymmetric series to obtain a fourth matrix.
Wherein the centrosymmetric sequence is represented as:
Mn、...、M3、M2、M1、M2、M3、...、Mn，
n is determined according to matrix elements H selected by convolution, wherein H is 2n + 1;
and M1-Mn are sequentially decreased progressively and satisfy the following conditions: m1+2 xm 2+2 xm 3+. +2 xmn ═ C, where C is a fixed value. Preferably, C is 1.
Preferably, the decreasing rule of M1-Mn conforms to a Gaussian distribution. Of course, other decrements could be used depending on the particular circumstances, such as an arithmetic or geometric or Fibonacci series.
For example, the pseudo code is a pseudo code obtained by performing convolution transformation on the row direction of the first matrix Pxy1, and performing convolution transformation on three elements, respectively, before and after the row in which the transformation element is located:
For x(i)＝1，3000
For y(i)＝1，4000
Jx(i)y(i)1＝M4×Jx(i)y(i-3)+M3×Jx(i)y(i-2)+M2×Jx(i)y(i-1)+M1×Jx(i)y(i)+M2×Jx(i)y(i+1)+M3×Jx(i)y(i+2)+M4×Jx(i)y(i+3)。
and carrying out convolution transformation on the column direction of the first matrix by using the same central symmetric sequence and the same method, wherein the pseudo code is as follows:
For x(i)＝1，3000
For y(i)＝1，4000
Jx(i)y(i)2＝M4×Jx(i-3)y(i)+M3×Jx(i-2)y(i)+M2×Jx(i-1)y(i)+M1×Jx(i)y(i)+M2×Jx(i+1)y(i)+M3×Jx(i+2)y(i)+M4×Jx(i+3)y(i)。
in step S4, the method specifically includes:
s41, setting a threshold value;
specifically, the threshold is a positive number, and the setting of the threshold can be obtained through multiple experimental statistics.
S42, subtracting the value of the element of the third matrix from the value of the element of the corresponding position of the fourth matrix to obtain a variable value;
and S43, comparing the variable value with the threshold value, and if the absolute value of the variable value is smaller than the threshold value, judging that the third matrix and the fourth matrix are converged.
The convergence mode judgment has the advantages of simplicity and accuracy in convergence judgment.
In step S6, the method specifically includes:
and when the third matrix and the fourth matrix are converged, adjusting the first image according to the converged third matrix or fourth matrix to obtain a second image with moire fringes removed.
The above operation only corrects one of the colors displayed by the panel, and if the panel actually displays 3 RGB, the above process needs to be performed once for each of the three RGB color channels. The analysis is carried out to obtain the condition of the panel in the case of three pure color displays.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A method of removing moir é from an image, comprising:
processing a shot image to obtain a first image, wherein the first image is an image part of a picture displayed by a panel in the shot image; the processing of the shot image to obtain the first image specifically includes: fixing a panel, wherein the panel displays a pure-color picture, shooting the panel by using a collector to obtain a shot image, all pictures displayed by the panel enter the scene, and a plane coordinate system of the shot image is overlapped with a plane coordinate system of the collector; cutting out the panel and the image part at the periphery of the panel in the shot image by taking the panel presented in the shot image as a boundary, and remaining the part of the image displayed by the panel in the shot image;
analyzing luminance of the first image, the first image being represented by a first matrix, values of elements of the first matrix corresponding to luminance values of pixels of the first image, respectively;
setting a central symmetry number column to carry out convolution transformation on the first matrix in the row direction and the column direction to obtain two matrixes after convolution; wherein the centrosymmetric sequence is represented as: mn, …, M3, M2, M1, M2, M3, …, Mn, where n is determined by the number H of convolution elements, H ═ 2n + 1; M1-Mn are sequentially decreased progressively, and satisfy: m1+2 xm 2+2 xm 3+ … +2 xmn ═ C, where C is a fixed value;
judging whether the two matrixes after convolution are converged or not;
if not, continuing the convolution operation until the obtained matrix after the convolution is converged;
a second image with moir é removed is obtained from the converged matrix.
2. The method according to claim 1, wherein the step of performing convolution transformation on the first matrix in at least two directions by setting the central symmetry number sequence comprises:
setting a group of central symmetry array to carry out convolution transformation on the row direction of the first matrix to obtain a third matrix;
and carrying out convolution transformation on the column direction of the first matrix by applying the same group of centrosymmetric number columns to obtain a fourth matrix.
3. The method for removing moire in an image as defined in claim 1, wherein said setting a set of centrosymmetric columns performs a convolution transformation on the row direction of said first matrix, and wherein the pseudo code is expressed as:
Jx(i)y(i)1＝Mn×Jx(i)y(i-n+1)+…+M3×Jx(i)y(i-2)+M2×Jx(i)y(i-1)+M1×Jx(i)y(i)+M2×Jx(i)y(i+1)+M3×Jx(i)y(i+2)+…+Mn×Jx(i)y(i+n-1)；
wherein i is a transformation element in the first matrix; jx (i) y (i)1 is the element of the third matrix obtained by performing convolution transformation on the row direction of the first matrix and taking (n-1) elements before and after the row of the transformation element.
4. The method of removing moir é of an image as defined in claim 2, wherein C is 1.
5. The method for removing moire in an image as defined in claim 2, wherein said decreasing M1-Mn rule follows a gaussian distribution.
6. The method of removing image moir é as defined in claim 2 wherein the centrosymmetric sequence is an arithmetic or geometric or fibonacci sequence.
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| CN110310237B (en) * | 2019-06-06 | 2020-08-18 | 武汉精立电子技术有限公司 | Method and system for removing image moire, measuring brightness of display panel sub-pixel point and repairing Mura defect |
| CN112700376A (en) * | 2019-10-23 | 2021-04-23 | Tcl集团股份有限公司 | Image moire removing method and device, terminal device and storage medium |
| TWI733286B (en) | 2019-12-25 | 2021-07-11 | 瑞昱半導體股份有限公司 | Method for determining moire pattern, method for suppressing moire pattern and circuit system thereof |
| CN113129389A (en) * | 2019-12-30 | 2021-07-16 | 瑞昱半导体股份有限公司 | Moire pattern judging method, Moire pattern inhibiting method and circuit system |
| CN112233614B (en) * | 2020-11-03 | 2021-09-17 | 卡莱特云科技股份有限公司 | Image moire eliminating method and device and LED display screen correction method |
| CN113570602B (en) * | 2021-09-24 | 2021-12-14 | 江苏昌存铜业有限公司 | Hot-rolled steel coil curling evaluation method based on artificial intelligence |
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