CN109068025A - A kind of camera lens shadow correction method, system and electronic equipment - Google Patents
A kind of camera lens shadow correction method, system and electronic equipment Download PDFInfo
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Abstract
The invention belongs to field of image processing, a kind of camera lens shadow correction method, system and electronic equipment are provided, the method includes obtaining image and described image is split as four color component figures；The Criterion-matrix for obtaining each color component figure obtains gray scale a reference value according to the Criterion-matrix；Each component map is divided into the grid of fixed size, obtains the first gray average of each grid；The proportionality coefficient table of camera lens shadow correction is obtained according to gray scale a reference value and the first gray average；Camera lens shadow correction is carried out according to the proportionality coefficient table.The system comprises color component figures to obtain module, gray scale a reference value obtains module, the first gray value obtains module, proportionality coefficient table obtains module and camera lens shadow correction module.The present invention is by using improved grid correction method, the influence for having many advantages, such as the shade at brightness centralization, preferably calibration edge, avoiding intrinsic local defect point.
Description
Technical field
The invention belongs to field of image processing more particularly to a kind of camera lens shadow correction methods, system and electronic equipment.
Background technique
Camera lens shadow correction is to solve since camera lens is for there is yin around light refraction unevenly caused camera lens
The case where shadow.Camera lens shade can be subdivided into brightness shade (luma shading) and colored shadow (color shading).
Luma shading refers to that the optical characteristics due to camera lens causes the fringe region of sensor (sensor) image area to receive
Beam intensity ratio center is small, leads to center and the inconsistent phenomenon of four angular brightness.Color shading is referred to due to various colors
Wavelength is different, and by the refraction of lens, the inconsistent of refraction angle results in the inconsistent of colored shadow.
In order to solve above two shade (shading), current existing algorithm is also classified into two major classes, one kind be based on pair
The luminance information of pixel is counted, is analyzed, and carries out Polynomial curve-fit or other nonlinear fittings, another kind of is to be based on
The colouring information (R, G, B) of pixel is counted, is analyzed, divides that Color Channel carries out Polynomial curve-fit or other are non-thread
Property fitting.
For existing technology there may be at most bright spot off center, the attenuation in edge deviates the decaying rule of light
The problems such as rule, local defect point influences debugging.The scope of application not can be well solved a variety of cameras by biggish limitation
Camera lens shadow correction problem.
Summary of the invention
The present invention provides a kind of camera lens shadow correction method, system and electronic equipments, it is intended to solve in the prior art without
Method solves the technical issues of camera lens shadow correction of a variety of cameras.
For this purpose, in one aspect of the invention, the present invention provides a kind of camera lens shadow correction methods, including following step
It is rapid:
S1, it obtains image and described image is split as four color component figures；
S2, the Criterion-matrix for obtaining each color component figure obtain gray scale a reference value according to the Criterion-matrix；
S3, the grid that each component map is divided into fixed size, obtain the first gray average of each grid；
S4, the proportionality coefficient table that camera lens shadow correction is obtained according to gray scale a reference value and the first gray average；
S5, camera lens shadow correction is carried out according to the proportionality coefficient table.
Preferably, in the step S2, gray scale a reference value is obtained according to the Criterion-matrix specifically:
S21, the first gray scale intermediate value for obtaining the Criterion-matrix；
S22, according to the absolute of the first gray scale intermediate value and the difference of the gray value of each point in the Criterion-matrix
Value carries out gray correction to the Criterion-matrix；
S23, the second gray average is obtained according to the Criterion-matrix after gray correction, as the gray scale a reference value.
It preferably, between the step S2 and the step S3, further include being assigned to the gray scale a reference value described
The central point of Criterion-matrix.
Preferably, in the step S3, the first gray average of each grid is obtained specifically:
S31, the sub- Criterion-matrix for obtaining the grid；
S32, the second gray scale intermediate value for obtaining the sub- Criterion-matrix；
S33, according to the exhausted of the second gray scale intermediate value and the difference of the gray value of each point in the sub- Criterion-matrix
To value, gray correction is carried out to the sub- Criterion-matrix；
S34, third gray average is obtained according to the sub- Criterion-matrix after gray correction, the first gray scale as the grid
Mean value.
Preferably, in the step S3, when each component map being divided into the grid of fixed size, if component map
Edge is unsatisfactory for the size of the grid of fixed size, then is extended by replicating edge gray value.
Preferably, the step S4 specifically: the quotient of the gray scale a reference value and the first gray average is returned
One changes, and obtains the proportionality coefficient table of camera lens shadow correction.
Preferably, the step S5 specifically: obtain image to be corrected, according to the number of the pixel of image to be corrected with
And pixel to be corrected obtains the position of grid locating for pixel to be corrected, according to the position of grid locating for pixel to be corrected
It sets and obtains the corresponding proportionality coefficient of pixel to be corrected from the proportionality coefficient table, pass through the picture to the pixel to be corrected
Plain value and the product of its corresponding proportionality coefficient are normalized, and complete camera lens shadow correction.
As it is further preferred that in the step S5, if pixel to be corrected between grid, corresponds to
Proportionality coefficient bilinear interpolation carried out by proportionality coefficient to four closest grid obtain.
In another aspect of the invention, the present invention also provides a kind of camera lens shadow correction systems, including color component
Figure obtains module, gray scale a reference value obtains module, the first gray value obtains module, proportionality coefficient table obtains module and camera lens yin
Shadow correction module；
The color component figure obtains module for obtaining image and described image being split as four color component figures；
The gray scale a reference value obtains the Criterion-matrix that module is used to obtain each color component figure, according to the benchmark square
Battle array obtains gray scale a reference value；
First gray value obtains the grid that module is used to for each component map being divided into fixed size, obtains each
First gray average of grid；
The proportionality coefficient table obtains module and is used to obtain camera lens shade according to gray scale a reference value and the first gray average
The proportionality coefficient table of correction；
The camera lens shadow correction module is used to carry out camera lens shadow correction according to the proportionality coefficient table.
In another aspect of the invention, the present invention also provides a kind of electronic equipment, including memory and comprising upper
State the processor of camera lens shadow correction module.
A kind of camera lens shadow correction method, system and electronic equipment provided by the invention, using improved grid correction method,
The proportionality coefficient table of multiple grids of each color component figure can be obtained, has and goes brightness centralization, preferably calibration edge
The shade at place, the advantages that avoiding the influence of intrinsic local defect point, and the present invention are suitable for the shadow correction of a variety of camera lenses, fit
With the unrestricted advantage of range.
Detailed description of the invention
Fig. 1 is the camera lens shadow correction method flow diagram provided in the embodiment of the present invention one；
Fig. 2 is the schematic diagram that image is split as to four color component figures in the embodiment of the present invention one；
Fig. 3 is the method flow diagram for obtaining gray scale a reference value in the embodiment of the present invention one according to the Criterion-matrix；
Fig. 4 is the schematic diagram of Criterion-matrix and its central point in the embodiment of the present invention one；
Fig. 5 is the method flow diagram that the first gray average of each grid is obtained in the embodiment of the present invention one；
Fig. 6 is the schematic diagram for the pixel Pxy to be corrected being between grid in the embodiment of the present invention one；
Fig. 7 is the camera lens shadow correction system construction drawing provided in the embodiment of the present invention two.
Wherein, 1- color component figure obtains module；2- gray scale a reference value obtains module；The first gray value of 3- obtains module；
4- proportionality coefficient table obtains module；5- camera lens shadow correction module.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.In addition, technical characteristic involved in each embodiment of invention described below is only
Not constituting a conflict with each other can be combined with each other.
The invention belongs to colored shadow correction, apply in color gamut (i.e. the domain bayer), using improved grid correction method,
With brightness centralization, the preferably shade at calibration edge is gone, the advantages that avoiding the influence of intrinsic local defect point.
In the embodiment of the present invention one, the present invention provides a kind of camera lens shadow correction methods, as shown in Figure 1, including
Following steps:
S1, it obtains image and described image is split as four color component figures；
S2, the Criterion-matrix for obtaining each color component figure obtain gray scale a reference value according to the Criterion-matrix；
S3, the grid that each component map is divided into fixed size, obtain the first gray average of each grid；
S4, the proportionality coefficient table that camera lens shadow correction is obtained according to gray scale a reference value and the first gray average；
S5, camera lens shadow correction is carried out according to the proportionality coefficient table.
Before the step S1, further includes: set white light source for luminance case, gear is set as LV10, sets biography
After the suitable exposure value of sensor, with the central area of the smooth alignment luminance case of sensor, interception raw figure, the raw figure is used as institute
State the image in step S1.
In a specific embodiment of the present invention, the model LSB-111BAT of the luminance case.
The raw figure is the image data source of the bayer format directly obtained from cmos sensor.
The step S1 specifically: it is even that the pixel in raw figure is pressed into odd row odd column, odd row even column, even row odd column, even row
The positional relationship of column is split as four color component figures.As shown in Fig. 2, the left side is the RG/GB format in bayer format, odd row
It is intervally arranged for RG color component, even behavior GB color component is intervally arranged, since neighbouring color interferes the (string in cmos
Disturb), the G component of odd row and even row has a certain difference, raw figure is split as four color components according to positional relationship, with
Conveniently it is corrected processing.
As shown in figure 3, obtaining gray scale a reference value according to the Criterion-matrix in the step S2 specifically:
S21, the first gray scale intermediate value for obtaining the Criterion-matrix；
S22, according to the absolute of the first gray scale intermediate value and the difference of the gray value of each point in the Criterion-matrix
Value carries out gray correction to the Criterion-matrix；
S23, the second gray average is obtained according to the Criterion-matrix after gray correction, as the gray scale a reference value.
The step S22 specifically: obtain the gray scale of each point in the first gray scale intermediate value and the Criterion-matrix
The absolute value of the difference of value, judges whether the absolute value is greater than preset threshold value, is, the gray value of the point is assigned a value of institute
State the first gray scale intermediate value.
In the step S2, the size of the Criterion-matrix is 5 × 5 matrixes.
It between the step S2 and the step S3, further include that the gray scale a reference value is assigned to the benchmark square
The central point of battle array.
The central point of the Criterion-matrix is as shown in Figure 4.
As shown in figure 5, in the step S3, obtaining the first gray average of each grid specifically:
S31, the sub- Criterion-matrix for obtaining the grid；
S32, the second gray scale intermediate value for obtaining the sub- Criterion-matrix；
S33, according to the exhausted of the second gray scale intermediate value and the difference of the gray value of each point in the sub- Criterion-matrix
To value, gray correction is carried out to the sub- Criterion-matrix；
S34, third gray average is obtained according to the sub- Criterion-matrix after gray correction, the first gray scale as the grid
Mean value.
In a specific embodiment of the present invention, the size of the sub- Criterion-matrix is 5 × 5 matrixes.
In the step S3, when each component map being divided into the grid of fixed size, if the edge of component map is not
Meet the size of the grid of fixed size, is then extended by replicating edge gray value.
The step S4 specifically: the quotient of the gray scale a reference value and the first gray average is normalized, is obtained
Obtain the proportionality coefficient table of camera lens shadow correction.
In the step S4, the formula of proportionality coefficient is obtained are as follows: rate_x=(int) (grey_mid/grey_x ×
256), wherein x indicates the number of grid, and rate_x indicates that the proportionality coefficient for the grid that number is x, grey_mid indicate gray scale
A reference value, grey_x indicates corresponding first gray average of grid that number is x, and the type of grey_mid and grey_x is
Double type.
The step S5 specifically: image to be corrected is obtained, according to the number of the pixel of image to be corrected and to school
Erect image vegetarian refreshments obtains the position of grid locating for pixel to be corrected, according to the position of grid locating for pixel to be corrected from institute
State and obtain the corresponding proportionality coefficient of pixel to be corrected in proportionality coefficient table, by the pixel value to the pixel to be corrected with
And its product of corresponding proportionality coefficient is normalized, and completes camera lens shadow correction.
Between the step S4 and the step S5, further includes: by the proportionality coefficient table of four color component figures according to
Preset to be arranged in order into hardware, the hardware can be video frequency processing chip.
The image to be corrected is the image obtained according to video frequency processing chip.
The pixel to be corrected can be any one pixel of the image to be corrected.
In the step S5, if pixel to be corrected between grid, corresponding proportionality coefficient by pair
The proportionality coefficient of four closest grid carries out bilinear interpolation and obtains.
As shown in fig. 6, point Pxy is the pixel to be corrected between grid, and line number where it is x, place columns
Indicate that the proportionality coefficient of four closest grid of point Pxy, w=64, h=32 indicate grid for y, P00, P01, P10, P11
Size is 64 × 32, then the formula of the corresponding proportionality coefficient of pixel Pxy to be corrected is obtained by bilinear interpolation are as follows: Pxy=
(P00×(64-x)×(32-y)+P01×x×(32-y)+P10×(64-x)×y+P11×x×y)/(64×32)。
In the embodiment of the present invention two, the present invention also provides a kind of camera lens shadow correction systems, as shown in fig. 7, packet
It includes color component figure and obtains module 1, gray scale a reference value acquisition module 2, the first gray value acquisition module 3, the acquisition of proportionality coefficient table
Module 4 and camera lens shadow correction module 5；The first output end that the color component figure obtains module 1 connects the gray scale base
Quasi- value obtains the input terminal of module 2, and the second output terminal that the color component figure obtains module 1 connects first gray value and obtains
The input terminal of modulus block 3, the output end that the gray scale a reference value obtains module 2 connect the proportionality coefficient table and obtain module 4
First input end, the output end that first gray value obtains module 3 connect the proportionality coefficient table and obtain the second defeated of module 4
Enter end, the output end that the proportionality coefficient table obtains module 4 connects the input terminal of the camera lens shadow correction module 5.
The color component figure obtains module 1 for obtaining image and described image being split as four color component figures；
The gray scale a reference value obtains the Criterion-matrix that module 2 is used to obtain each color component figure, according to the benchmark
Matrix obtains gray scale a reference value；
First gray value obtains the grid that module 3 is used to for each component map being divided into fixed size, obtains each
First gray average of a grid；
The proportionality coefficient table obtains module 4 and is used to obtain camera lens shade according to gray scale a reference value and the first gray average
The proportionality coefficient table of correction；
The camera lens shadow correction module 5 is used to carry out camera lens shadow correction according to the proportionality coefficient table.
In the embodiment of the present invention three, the present invention provides a kind of electronic equipment, including memory and comprising as above
State the processor of camera lens shadow correction module.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (10)
1. a kind of camera lens shadow correction method, which comprises the following steps:
S1, it obtains image and described image is split as four color component figures；
S2, the Criterion-matrix for obtaining each color component figure obtain gray scale a reference value according to the Criterion-matrix；
S3, the grid that each component map is divided into fixed size, obtain the first gray average of each grid；
S4, the proportionality coefficient table that camera lens shadow correction is obtained according to gray scale a reference value and the first gray average；
S5, camera lens shadow correction is carried out according to the proportionality coefficient table.
2. camera lens shadow correction method as described in claim 1, which is characterized in that in the step S2, according to the base
Quasi- matrix obtains gray scale a reference value specifically:
S21, the first gray scale intermediate value for obtaining the Criterion-matrix；
S22, the absolute value according to the difference of the gray value of each point in the first gray scale intermediate value and the Criterion-matrix are right
The Criterion-matrix carries out gray correction；
S23, the second gray average is obtained according to the Criterion-matrix after gray correction, as the gray scale a reference value.
3. camera lens shadow correction method as described in claim 1, which is characterized in that the step S2 and step S3 it
Between, it further include that the gray scale a reference value is assigned to the central point of the Criterion-matrix.
4. camera lens shadow correction method as described in claim 1, which is characterized in that in the step S3, obtain each
First gray average of grid specifically:
S31, the sub- Criterion-matrix for obtaining the grid；
S32, the second gray scale intermediate value for obtaining the sub- Criterion-matrix；
S33, the absolute value according to the difference of the gray value of each point in the second gray scale intermediate value and the sub- Criterion-matrix,
Gray correction is carried out to the sub- Criterion-matrix；
S34, third gray average is obtained according to the sub- Criterion-matrix after gray correction, the first gray scale as the grid is equal
Value.
5. camera lens shadow correction method as described in claim 1, which is characterized in that in the step S3, by each component
When figure is divided into the grid of fixed size, if the edge of component map is unsatisfactory for the size of the grid of fixed size, by multiple
Edge gray value processed is extended.
6. camera lens shadow correction method as described in claim 1, which is characterized in that the step S4 specifically: to the ash
The quotient of degree a reference value and the first gray average is normalized, and obtains the proportionality coefficient table of camera lens shadow correction.
7. camera lens shadow correction method as described in claim 1, which is characterized in that the step S5 specifically: obtain to school
Positive image obtains grid locating for pixel to be corrected according to the number of the pixel of image to be corrected and pixel to be corrected
Position, it is corresponding that pixel to be corrected is obtained from the proportionality coefficient table according to the position of grid locating for pixel to be corrected
Proportionality coefficient, normalizing is carried out by the product of pixel value and its corresponding proportionality coefficient to the pixel to be corrected
Change, completes camera lens shadow correction.
8. camera lens shadow correction method as claimed in claim 7, which is characterized in that in the step S5, if to be corrected
Pixel is between grid, then its corresponding proportionality coefficient is by carrying out the closest corresponding proportionality coefficient of four grid
Bilinear interpolation obtains.
9. a kind of camera lens shadow correction system, which is characterized in that obtain module (1) including color component figure, gray scale a reference value obtains
Modulus block (2), the first gray value obtain module (3), proportionality coefficient table obtains module (4) and camera lens shadow correction module (5)；
The color component figure obtains module (1) for obtaining image and described image being split as four color component figures；
The gray scale a reference value obtains the Criterion-matrix that module (2) are used to obtain each color component figure, according to the benchmark square
Battle array obtains gray scale a reference value；
First gray value obtains the grid that module (3) are used to for each component map being divided into fixed size, obtains each
First gray average of grid；
The proportionality coefficient table obtains module (4) and is used to obtain camera lens shade school according to gray scale a reference value and the first gray average
Positive proportionality coefficient table；
The camera lens shadow correction module (5) is used to carry out camera lens shadow correction according to the proportionality coefficient table.
10. a kind of electronic equipment, which is characterized in that including memory and include camera lens shade as claimed in claim 9 school
The processor of positive module.
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| CN113055618B (en) * | 2021-03-10 | 2022-10-21 | 展讯半导体(南京)有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
| CN113132562A (en) * | 2021-04-21 | 2021-07-16 | 维沃移动通信有限公司 | Lens shadow correction method and device and electronic equipment |
| CN113132562B (en) * | 2021-04-21 | 2023-09-29 | 维沃移动通信有限公司 | Lens shading correction method and device and electronic equipment |
| CN113747066A (en) * | 2021-09-07 | 2021-12-03 | 汇顶科技(成都)有限责任公司 | Image correction method, image correction device, electronic equipment and computer-readable storage medium |
| CN113747066B (en) * | 2021-09-07 | 2023-09-15 | 汇顶科技(成都)有限责任公司 | Image correction method, image correction device, electronic equipment and computer readable storage medium |
| CN114007055A (en) * | 2021-10-26 | 2022-02-01 | 四川创安微电子有限公司 | Image sensor lens shadow correction method and device |
| CN114007055B (en) * | 2021-10-26 | 2023-05-23 | 四川创安微电子有限公司 | Image sensor lens shading correction method and device |
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