Image color correction method, storage medium and endoscope

Abstract

The invention discloses an image color correction method, a storage medium and an endoscope, and the method comprises the steps: photographing of a standard color card through a to-be-corrected system, so as to obtain to-be-corrected values of R, G and B of n color blocks in the color card, and to-be-corrected values of all components L, M and N of a color model; establishing an inequality constraint function; correcting the to-be-corrected values R, G and B of the n color blocks in the standard color card according to the color correction matrix coefficient X to obtain a corrected matrix; obtaining each component value L1, M1 and N1 of the converted color model; establishing an objective function according to each component standard numerical value Lb, Mb and Nb of a color model in a standard color card and each component numerical value L1, M1 and N1 of the converted color model; and according to the constraint function and the target function, under the condition that the value of the target function is minimum, fitting the target function to obtain a color correction matrix coefficient X. The method is simple and convenient, a complex image data analysis process is avoided, andimage colors can be corrected according to actual needs.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image color correction method, a storage medium and an endoscope. Background technique [0002] With the development of computer science and color input and output technology, color images, as information carriers, have been more and more widely used in many fields such as printing, film and television, advertising, e-commerce and digital entertainment, and people's requirements for color reproduction quality are also increasing. Higher and higher. However, in the process of obtaining color images through imaging systems such as cameras and other devices, there will be a certain deviation between the color of the captured image and the color of the real object to be photographed. In order to reduce the deviation, the color of the image captured by the camera equipment is generally correction. [0003] In the method of image color correction, the most basic RGB (red, green and...

AI Technical Summary

Problems solved by technology

However, this adjustment method is cumbersome and requires complex image data analysis

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