Color correction method and related device thereof

Abstract

The invention discloses a color correction method and a related device thereof, wherein the method comprises the steps of obtaining color information and a color temperature estimation value of to-be-debugged equipment; selecting corresponding color data from a color space data table of reference equipment according to the color information and the color temperature estimation value; obtaining a target color matrix by using the color data, and obtaining a source color matrix; and calculating a color correction value according to the target color matrix and the source color matrix, and correcting the color information of the to-be-debugged equipment by using the color correction value. Through the method, the color style debugging efficiency of the equipment is effectively improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a color correction method and related devices. Background technique [0002] Video surveillance is an important part of security. With the development of security technology, more and more attention has been paid to the improvement of video image quality. As color is the most important part of image quality, the look and feel presented by its style characteristics often become the first indicator for users to evaluate videos. [0003] figure 1 is the sensor’s response to the RGB spectrum, figure 2 It is a graph of the human eye's response to the RGB spectrum. From figure 1 and figure 2 It can be seen from the figure that the response curves of the human eye and the sensor (camera) to the RGB spectrum are inconsistent, and after the image is processed by white balance, there is usually a color shift. Therefore, it is necessary to correct the color matrix ...

AI Technical Summary

Problems solved by technology

During the debugging process, the human eyes are often used to subjectively judge the color style difference between the debugged device and the target device, and fine-tune each element in the 3×3 matrix of the CCM according to the debugging experience of the actual debugger, and then take effect after the adjustment. The comparison of color style differences on the device side is time-consuming and labor-intensive in the middle process, which is very inefficient

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