CN104778664A - Image brightness correction method - Google Patents
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- CN104778664A CN104778664A CN201510170390.1A CN201510170390A CN104778664A CN 104778664 A CN104778664 A CN 104778664A CN 201510170390 A CN201510170390 A CN 201510170390A CN 104778664 A CN104778664 A CN 104778664A
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Abstract
The invention discloses an image brightness correction method which comprises steps as follows: S1, taking a partitioned to-be-corrected image as a current to-be-corrected zone; S2, determining correction coefficients of all pixels in the current to-be-corrected zone with a bilinear interpolation algorithm; S3, determining brightness values of the pixels after correction according to original brightness values and the correction coefficients of the pixels in the current to-be-corrected zone; S4, contracting the to-be-corrected zone towards the optical center of the image, partitioning the contacted zone again, taking the partitioned zone as the current to-be-corrected zone, and returning to S2 until the preset correction times are reached. With the adoption of the image brightness correction method, the brightness correction running speed can be greatly increased, the method is more applicable to practical application of a production line, the correction result can be more detailed, and the quality of corrected images is guaranteed.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of method that brightness of image corrects.
Background technology
Due to the optical characteristics of camera lens, the beam intensity ratio central area that the fringe region of sensor receives little, image frame there will be dark angle.And carry out focusing at camera module, the test item such as resolving power time, if picture is too dark or have dark angle, its test result can be had a strong impact on.If first carried out luminance compensation before testing, the impact of this kind of factor on test item just can be alleviated.In addition, first carrying out gamma correction when testing module, the problems such as machinery dark angle, bright spot, bright line can also be made more obviously to come out, thus convenient judge module defect.
According to cosine-fourth law, the gamma correction effect that gamma correction can reach best undoubtedly is all carried out to each pixel, but for the camera module of high pixel, if it is consuming time very long to carry out such calculating to each pixel.Adopt bilinear interpolation to carry out the method for gamma correction, greatly can improve speed.But while raising speed, the reduction of image quality (as occurred latticed dark line) can be caused again.Therefore, a kind of efficient and better careful brightness of image of calibration result corrects method is provided to be necessary.
Summary of the invention
The object of this invention is to provide a kind of method that brightness of image corrects, object is to solve the problem that existing brightness correcting method travelling speed is slow or calibration result is not good enough.
For solving the problems of the technologies described above, the invention provides a kind of method that brightness of image corrects, comprising:
Step S1: using behind image zoning to be corrected as current region to be corrected;
Step S2: utilize bilinear interpolation algorithm to determine the correction coefficient of each pixel in current region to be corrected;
Step S3: by original luminance value and the described correction coefficient of each pixel in described current region to be corrected, determines the brightness value after the correction of each pixel;
Step S4: the optical centre of described region to be corrected to described image to be corrected is shunk, using the region after shrinking again behind zoning as current region to be corrected, return step S2, until reach default number of corrections.
Alternatively, comprise behind image zoning to be corrected as current region to be corrected in described step S1:
Be divided into described image to be corrected as current region to be corrected behind the identical M of size × N number of subregion, wherein M, N are odd number, and the proportionate relationship of M, N is directly proportional to the size of described image to be corrected.
Alternatively, the correction coefficient of each pixel in current region to be corrected comprises to utilize bilinear interpolation algorithm to determine in described step S2:
Determine each subregional regional correction coefficient in described current region to be corrected, as the correction coefficient of each subregion central point;
Bilinear interpolation algorithm is utilized to determine the correction coefficient of each intermediary image vegetarian refreshments and edge pixels point in described current region to be corrected, wherein, described intermediary image vegetarian refreshments is the pixel of the inside, grid division that each subregional central point is formed, and it is rest of pixels point in described current region to be corrected except intermediary image vegetarian refreshments that edge pixels is selected.
Alternatively, describedly determine that in described current region to be corrected, each subregional regional correction coefficient comprises:
Calculate the average brightness of pixel in each subregion respectively, determine the maximal value in described average brightness, using the ratio of each subregional average brightness and maximal value as each subregional regional correction coefficient described.
Alternatively, described utilize bilinear interpolation algorithm to determine the correction coefficient of each intermediary image vegetarian refreshments in described current region to be corrected comprises:
Using each subregional central point described as the first fundamental point, bilinear interpolation algorithm is utilized to determine the correction coefficient of the intermediary image vegetarian refreshments in described current region to be corrected.
Alternatively, described utilize bilinear interpolation algorithm to determine the correction coefficient of each edge pixels point in described current region to be corrected comprises:
Using edge pixels to be determined point as impact point, by as a reference point for point nearest with described impact point in described first fundamental point;
Utilize the correction coefficient of described reference point to be multiplied by the distance of described impact point and optical centre, then divided by the distance of described reference point to described optical centre, obtain the correction coefficient of described impact point;
Using described impact point as the second fundamental point, bilinear interpolation algorithm is utilized to determine the correction coefficient of each edge pixels point.
Alternatively, the square region that the region after shrinking in described step S4 is is symcenter with described optical centre.
Alternatively, the rectangular region that the region after shrinking in described step S4 is is symcenter with described optical centre, the length of described rectangular region and wide proportionate relationship are directly proportional to the size of described image to be corrected.
Alternatively, the subregional size behind the region after contraction in described step S4 again zoning is less than the last subregional size divided.
The method that brightness of image provided by the present invention corrects, on the method basis of existing bilinear interpolation gamma correction, by progressively the center of region to be corrected to the optics near image being shunk, to the bilinear interpolation algorithm gamma correction carrying out at least secondary by paracentral region, greatly can either improve the travelling speed of gamma correction like this, be more suitable for the practical application of producing line, the effect of correction can also be made better careful, ensure the image quality of image after correcting.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method that brightness of image provided by the present invention corrects;
Fig. 2 is the process flow diagram of a kind of embodiment of the method that brightness of image provided by the present invention corrects;
Fig. 3 is the process flow diagram of the another kind of embodiment of the method that brightness of image provided by the present invention corrects.
Embodiment
The incident light parallel with camera lens optical axis, is gathered in the imaging of picture core.Suppose that its illumination is I
0, oblique ray uneven with optical axis, become random angle θ incident with optical axis, illuminance of image plane is at this moment I
θ, then following relationship is had: I
θ=I
0cos
4θ, i.e. the brightness of oblique ray imaging is directly proportional to this oblique cosine of an angle biquadratic, becomes cosine-fourth law.Therefore, compared with picture core, more level off to edge, image is darker.
Find out the optical centre of image, carry out zoning by this law to picture, after obtaining the average brightness value in each region, utilize bilinear interpolation to calculate and complete interpolation to central area, the value interpolation of surrounding is too based on this law.In the place at picture edge, because the linear relationship of its brightness and optical centre span is comparatively strong, the neighbouring central area that is in therefore can be directly utilized to determine that the point of correction coefficient is to obtain the correction coefficient at edge.In addition, according to cosine-fourth law, central area linear relationship is weak, and change is large, therefore takes refinement classification to improve the effect of correction.The present invention to carry out gamma correction based on above-mentioned theory to image just.
In order to make those skilled in the art person understand the present invention program better, below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.Obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The invention provides a kind of method that brightness of image corrects, as shown in Figure 1, the method comprises:
Step S1: using behind image zoning to be corrected as current region to be corrected;
Step S2: utilize bilinear interpolation algorithm to determine the correction coefficient of each pixel in current region to be corrected;
Step S3: by original luminance value and the described correction coefficient of each pixel in described current region to be corrected, determines the brightness value after the correction of each pixel;
Step S4: the optical centre of described region to be corrected to image is shunk, using the region after shrinking again behind zoning as current region to be corrected, return step S2, until reach default number of corrections.
The method that brightness of image provided by the present invention corrects, on the method basis of existing bilinear interpolation gamma correction, by progressively the center of region to be corrected to the optics near image being shunk, to the bilinear interpolation algorithm gamma correction carrying out at least secondary by paracentral region, greatly can either improve the travelling speed of gamma correction like this, be more suitable for the practical application of producing line, the effect of correction can also be made better careful, ensure the image quality of image after correcting.
Embodiment one
The process flow diagram of a kind of embodiment of the method that brightness of image provided by the present invention corrects as shown in Figure 2.Can be specially behind image zoning to be corrected as current region to be corrected in above-mentioned steps S1:
Step S11: be divided into described image to be corrected as current region to be corrected behind the identical M of size × N number of subregion, wherein M, N are odd number, and the proportionate relationship of M, N is directly proportional to the size of described image.
Above-mentioned steps S2 utilizes bilinear interpolation algorithm to determine, and the process of the correction coefficient of each pixel in current region to be corrected specifically can adopt following steps:
Step S12: determine each subregional regional correction coefficient in described current region to be corrected, as the correction coefficient of each subregion central point;
Particularly, the average brightness of pixel in each subregion can be calculated respectively, determine the maximal value in described average brightness, using the ratio of each subregional average brightness and maximal value as each subregional regional correction coefficient described.
Step S13: utilize bilinear interpolation algorithm to determine the correction coefficient of each intermediary image vegetarian refreshments in current region to be corrected;
Step S14: utilize bilinear interpolation algorithm to determine the correction coefficient of each edge pixels point in current region to be corrected;
Wherein, described intermediary image vegetarian refreshments is the pixel of the inside, grid division that each subregional central point is formed, and it is rest of pixels point except intermediary image vegetarian refreshments that edge pixels is selected.
As a kind of embodiment, determine that the process of the correction coefficient of intermediary image vegetarian refreshments can be adopted with the following method:
Using each subregional central point described as the first fundamental point, bilinear interpolation algorithm is utilized to determine the correction coefficient of the intermediary image vegetarian refreshments in described current region to be corrected.
As a kind of embodiment, determine that the process of the correction coefficient of edge pixels point can be adopted with the following method:
Using edge pixels to be determined point as impact point, by as a reference point for point nearest with described impact point in described first fundamental point;
Utilize the correction coefficient of described reference point to be multiplied by the distance of described impact point and optical centre, then obtain the correction coefficient of described impact point to the distance of described optical centre divided by described reference point;
Using described impact point as the second fundamental point, utilize the correction coefficient of bilinear interpolation algorithm determination edge pixels point.
Step S15: by original luminance value and the described correction coefficient of each pixel in described current region to be corrected, determines the brightness value after the correction of each pixel;
Wherein, the brightness value of each pixel can calculate acquisition respectively by the value of R/G/B tri-passages of each pixel.In actual applications, both gamma correction can be carried out by doing interpolation processing to the value of each passage of R/G/B respectively, can do by calculating to the value by R/G/B tri-passages the brightness value obtained the correction that interpolation processing carries out brightness, this does not affect realization of the present invention yet.
Step S16: the optical centre of described region to be corrected to image is shunk, using the region after shrinking again behind zoning as current region to be corrected, return step S2, until reach default number of corrections.
The method that brightness of image provided by the present invention corrects, on the method basis of existing bilinear interpolation gamma correction, by progressively the center of region to be corrected to the optics near image being shunk, to the bilinear interpolation algorithm gamma correction carrying out at least secondary by paracentral region, greatly can either improve the travelling speed of gamma correction like this, be more suitable for the practical application of producing line, the effect of correction can also be made better careful, ensure the image quality of image after correcting.
Embodiment two
As shown in Figure 3, compared with a upper embodiment, the default number of corrections in the present embodiment is set to 2 times to the process flow diagram of the another kind of embodiment of the method that brightness of image provided by the present invention corrects, and namely carries out secondary bilinear interpolation correction.This embodiment comprises:
Step S21: by M identical sized by described Region dividing to be corrected × N number of subregion, wherein M, N are odd number, and the proportionate relationship of M, N is directly proportional to the size of described image;
Wherein, as a kind of preferred implementation, the subregion after division can be specially the identical territory, square cell of several sizes, as first order zoning.
Step S22: the average brightness calculating pixel in each subregion respectively, determines the maximal value in described average brightness, using the ratio of each subregional average brightness and maximal value as each subregional regional correction coefficient described;
Step S23: using the correction coefficient of regional correction coefficient as each subregion central point, each subregional central point line can form again new grid division (M-1) × (N-1) block.Now, the pixel in region to be corrected can be divided into intermediary image vegetarian refreshments and edge pixels point, and wherein, described intermediary image vegetarian refreshments is the pixel of the inside, grid division that each subregional central point is formed;
Step S24: in (M-1) × (N-1) block interpolation subregion, its corner is the central point of correction coefficient by assignment in step S23, the first fundamental point that it can be used as bilinear interpolation to calculate, the correction coefficient of other intermediary image vegetarian refreshments can be calculated by bilinear interpolation;
Step S25: using edge pixels to be determined point as impact point, by as a reference point for point nearest with impact point in the first fundamental point; Utilize the correction coefficient of described reference point to be multiplied by the distance of described impact point and optical centre, then obtain the correction coefficient of described impact point to the distance of described optical centre divided by described reference point; Using described impact point as the second fundamental point, bilinear interpolation algorithm is utilized to determine the correction coefficient of described edge pixels point;
Step S26: after obtaining the correction coefficient of each pixel, using the original luminance value of each pixel and the ratio of correction coefficient as the brightness value after each pixel corrects, is assigned to pixel, completes the first time gamma correction of image;
Step S27: shunk by the optical centre of region to be corrected to image, behind the region after contraction again zoning, obtains zoning, the second level, repeats step S22 to S26, completes second time gamma correction.
As a kind of embodiment, the square region that region to be corrected after contraction can be is symcenter with the optical centre of image to be corrected, also can be the rectangular region that is symcenter with this optical centre, wherein the length of rectangular region and wide proportionate relationship are directly proportional to the size of image, and this does not affect realization of the present invention.
In addition, as a kind of preferred implementation, the subregional size behind the region after contraction again zoning is less than the last subregional size divided.Particularly, the subregional size in region to be corrected for the second level can be set to 1/4th of the subregional size of the first order.Such setting can make the new region divided more tiny, makes the effect of gamma correction better careful.
Can find out, the process of zoning, second level interpolation is similar to first order zoning, and the method for carrying out interpolation calculation is also identical with the first order, and difference is only that the new subregion divided is more tiny.And for avoiding too much calculating, zoning, the second level is only applied to central area.It is pointed out that in the present embodiment and default number of corrections is set to 2 times, namely carry out secondary bilinear interpolation correction.In like manner, thinner zoning interpolation calculation can be carried out in the region being more tending towards center, do the third level, level Four zoning.Classification is more, and it is more to get a calculating, and image quality is also better, but speed is also slower.But total speed is still faster than node-by-node algorithm.In actual applications, secondary partition interpolation just can obtain good calibration result, can meet the requirement of test environment.
The method that brightness of image provided by the present invention corrects, on the method basis of existing bilinear interpolation gamma correction, by progressively the center of region to be corrected to the optics near image being shunk, to the bilinear interpolation algorithm gamma correction carrying out at least secondary by paracentral region, greatly can either improve the travelling speed of gamma correction like this, be more suitable for the practical application of producing line, the effect of correction can also be made better careful, ensure the image quality of image after correcting, provide a kind of thinking weighing selection between correction rate and correction image quality voluntarily.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiment, between each embodiment same or similar part mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (9)
1. a method for brightness of image correction, is characterized in that, comprising:
Step S1: using behind image zoning to be corrected as current region to be corrected;
Step S2: utilize bilinear interpolation algorithm to determine the correction coefficient of each pixel in current region to be corrected;
Step S3: by original luminance value and the described correction coefficient of each pixel in described current region to be corrected, determines the brightness value after the correction of each pixel;
Step S4: the optical centre of described region to be corrected to described image to be corrected is shunk, using the region after shrinking again behind zoning as current region to be corrected, return step S2, until reach default number of corrections.
2. the method for brightness of image correction as claimed in claim 1, is characterized in that, comprise in described step S1 using behind image zoning to be corrected as current region to be corrected:
Be divided into described image to be corrected as current region to be corrected behind the identical M of size × N number of subregion, wherein M, N are odd number, and the proportionate relationship of M, N is directly proportional to the size of described image to be corrected.
3. the method for brightness of image correction as claimed in claim 1, it is characterized in that, the correction coefficient of each pixel in current region to be corrected comprises to utilize bilinear interpolation algorithm to determine in described step S2:
Determine each subregional regional correction coefficient in described current region to be corrected, as the correction coefficient of each subregion central point;
Bilinear interpolation algorithm is utilized to determine the correction coefficient of each intermediary image vegetarian refreshments and edge pixels point in described current region to be corrected, wherein, described intermediary image vegetarian refreshments is the pixel of the inside, grid division that each subregional central point is formed, and it is rest of pixels point in described current region to be corrected except intermediary image vegetarian refreshments that edge pixels is selected.
4. the method that corrects of brightness of image as claimed in claim 3, is characterized in that, describedly determines that in described current region to be corrected, each subregional regional correction coefficient comprises:
Calculate the average brightness of pixel in each subregion respectively, determine the maximal value in described average brightness, using the ratio of each subregional average brightness and maximal value as each subregional regional correction coefficient described.
5. the method that corrects of brightness of image as claimed in claim 3, is characterized in that, described utilize bilinear interpolation algorithm to determine the correction coefficient of each intermediary image vegetarian refreshments in described current region to be corrected comprises:
Using each subregional central point described as the first fundamental point, bilinear interpolation algorithm is utilized to determine the correction coefficient of the intermediary image vegetarian refreshments in described current region to be corrected.
6. the method that corrects of brightness of image as claimed in claim 5, is characterized in that, described utilize bilinear interpolation algorithm to determine the correction coefficient of each edge pixels point in described current region to be corrected comprises:
Using edge pixels to be determined point as impact point, by as a reference point for point nearest with described impact point in described first fundamental point;
Utilize the correction coefficient of described reference point to be multiplied by the distance of described impact point and optical centre, then divided by the distance of described reference point to described optical centre, obtain the correction coefficient of described impact point;
Using described impact point as the second fundamental point, bilinear interpolation algorithm is utilized to determine the correction coefficient of each edge pixels point.
7. the method for brightness of image correction as claimed in claim 1, is characterized in that, the square region that the region after shrinking in described step S4 is is symcenter with described optical centre.
8. the method for brightness of image correction as claimed in claim 1, it is characterized in that, the rectangular region that region after shrinking in described step S4 is is symcenter with described optical centre, the length of described rectangular region and wide proportionate relationship are directly proportional to the size of described image to be corrected.
9. the method for brightness of image correction as claimed in claim 7 or 8, is characterized in that, the subregional size behind the region after contraction in described step S4 again zoning is less than the last subregional size divided.
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| CN115100071A (en) * | 2022-07-18 | 2022-09-23 | 芯原微电子(上海)股份有限公司 | Brightness balance correction method and device, image acquisition equipment and storage medium |
| CN115985229A (en) * | 2023-01-06 | 2023-04-18 | 卡莱特云科技股份有限公司 | Method and device for quickly correcting gradient of correction coefficient of display screen |
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