Device and method for shadow correction verification parameter determination and shadow correction verification

US11050988B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11050988-B2
Application numberUS-201916362929-A
CountryUS
Kind codeB2
Filing dateMar 25, 2019
Priority dateMar 26, 2018
Publication dateJun 29, 2021
Grant dateJun 29, 2021

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Abstract

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A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information; wherein the luma information is the ratio of a luma to a luma of a center block, and the color information is a ratio of a color value to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification.

First claim

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The invention claimed is: 1. A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information of the block; wherein the luma information is the ratio of a luma of the block to a luma of a center block, and the color information is a ratio of a color value of the block to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification, wherein the obtaining correction data in each block of a plurality of correction images comprises: obtaining a plurality of images that have completed correction to be the correction images, the images that have completed correction being captured in an integrating sphere by a fisheye camera; calculating a first ratio of an average luma value in each block of each correction image to an average luma value of the center block of the correction image to be the luma information; and calculating a second ratio of an average color value in each block of each correction image to an average color value of the center block of the correction image to be the color information, wherein calculating standard values and deviation values of each block by using the luma information and color information in each block of the plurality of correction images comprises: calculating a first average value of the first ratios of the same block of the plurality of correction images to be a first standard value of each block and calculating a second average value of the second ratios of the same block of the plurality of correction images to be a second standard value of each block; and determining a maximum difference value between the first ratios and the first standard value of each block to be a first deviation value of each block and determining a maximum difference value between the second ratios and the second standard value of each block to be a second deviation value of each block. 2. The method of claim 1 , wherein the correction images are selected from images that have passed correction and a plurality of preset types of abnormally corrected images. 3. A non-transitory storage medium storing instructions which, when executed by a processor, cause the processor to perform the method for shadow correction verification parameter determination method of claim 1 . 4. A fisheye camera comprising non-transitory computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform the method for the shadow correction verification parameter determination method of claim 1 . 5. A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information of the block; wherein the luma information is the ratio of a luma of the block to a luma of a center block, and the color information is a ratio of a color value of the block to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification, wherein the obtaining correction data in each block of a plurality of correction images comprises: obtaining a gain value of each block of the plurality of correction images when correction is being performed, the gain value comprising a color compensation amount, and taking a first ratio of the color compensation amount of the center block to the color compensation amount of each block to be the color information; and calculating a luma compensation amount of each block on the basis of the color compensation amount of each block and the color compensation amount of the center block, and taking a second ratio of the luma compensation amount of the center block to the luma compensation amount of each block to be the luma information, wherein the calculating standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images comprises: calculating a first average value of the first ratios of the same block of the plurality of correction images to be a first standard value of each block and calculating a second average value of the second ratios of the same block of the plurality of correction images to be a second standard value of each block; and determining a maximum difference value between the first ratios and first standard value of each block to be a first deviation value of each block and determining a maximum difference value between the second ratios and second standard value of each block to be a second deviation value of each block. 6. The method of claim 5 , wherein the correction images are selected from images prior to the start of correction and a plurality of preset types of abnormally corrected images. 7. A non-transitory storage medium storing instructions which, when executed by a processor, cause the processor to perform the method for shadow correction verification parameter determination method of claim 5 . 8. A fisheye camera comprising non-transitory computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform the method for the shadow correction verification parameter determination method of claim 5 . 9. A method of shadow correction verification, the method comprising: obtaining correction verification parameters and an image to be verified, the correction verification parameters comprising standard values and deviation values of each block, the correction verification parameters being calculated using luma information and color information in each block of a plurality of correction images; wherein the luma information is a ratio of a luma to a luma of a center block, and the color information being a ratio of a color value to a color value of the center block; obtaining correction data to be verified in each block of the image to be verified, the correction data to be verified comprising a first ratio of an average luma value to an average luma value of the center block and a second ratio of an average color value to an average color value of the center block; comparing the first ratio and the second ratio with at least one set of standard values and deviation values to obtain a comparison result; and determining, on the basis of the comparison result, whether the correction passes the verification. 10. The method of claim 9 , wherein the obtaining correction data to be verified in each block of the image to be verified comprises: calculating the first ratio of the average luma value of the lumas in each block of the image to be verified to the average luma value of the center block of the image to be verified; and calculating the second ratio of the average color value of the colors in each block of the image to be verified to the average color value of the center block of the image to be verified. 11. The method of claim 9 , wherein the obtaining correction data to be verified in each block of the image to be ver

Assignees

Inventors

Classifications

  • H04N25/61Primary

    the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4" · CPC title

  • Circuitry for compensating brightness variation in the scene · CPC title

  • for achieving an enlarged field of view, e.g. panoramic image capture · CPC title

  • for suppressing or minimising disturbance in the image signal generation · CPC title

  • for processing colour signals · CPC title

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What does patent US11050988B2 cover?
A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information; wherein the luma information is the ratio of a luma to a luma of a center block, and the color information is a ratio of a color value to a color value of th…
Who is the assignee on this patent?
Shanghai Xiaoyi Tech Co Ltd
What technology area does this patent fall under?
Primary CPC classification H04N25/61. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Jun 29 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).