Camera color reduction test method based on visual perception

Abstract

The present invention provides a camera color restoration test method based on visual perception, adjusts the Lab value of the monochrome picture corresponding to the 24 color blocks of the Macbeth color standard card, and obtains 24 standard displays that are completely consistent with the Lab value of the standard monochrome picture screen, the camera shoots the 24 standard display screens, obtains 24 captured images, and measures the Lab value (k=1,2,3...24), and the standard Lab value of the standard display screen ) to compare one by one to get the color difference values ​​of 24 colors , the color shift index is defined as . The beneficial effect of the present invention is: be applicable to all photographing equipments with imaging function; Compared with physical test chart card, digital image is less affected by environment, and test result is more objective; Manual adjustment generates standard image; Conversion formula is not used, and the result More reliable, use CIE DE2000, which is the best based on visual perception uniformity, as the color difference formula.

Description

technical field [0001] The invention relates to a camera color restoration test method, in particular to a camera color restoration test method based on visual perception. Background technique [0002] The existing patent "Detection method and system of color reproducibility of mobile phone camera" discloses a detection method and system of color reproducibility of mobile phone camera, which uses a mobile phone camera to shoot a standard 24 color card to obtain the first image, and then converts the second The chromaticity coordinates of each color block of an image are obtained to obtain the first chromaticity coordinate set, and then the first chromaticity coordinate set is compared with the standard chromaticity coordinate set stored in the mobile phone to obtain the average value and average value of color reproducibility. The root value and the average and root mean square value of the color reproducibility are compared with the preset threshold value to obtain the dete...

AI Technical Summary

Problems solved by technology

The above scheme has the following defects: (1) the existing technology is only for mobile phone cameras; (2) the standard 24-color card of the real object may have color shift itself, and it is obviously affected by the environment such as care and color temperature; (3) the absolute error provided It cannot directly reflect the degree of color shift, and the color error ignores the influence of brightness; (4) The RGB-Lab conversion formula has great limitations, and the results are not accurate in many cases

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