Method for realizing image color correction and transformation based on sample image in computer system

Abstract

The invention relates to a method for realizing image color correction and transformation based on a sample image in a computer system. The method comprises the following steps: a matrix transformation model of an RGB space is established systematically; the sample image and a target image are read in the RGB space; a transformational matrix from the sample image to the target image is calculated according to a Newton iteration minimum chromatic aberration method; RGB spatial components of the target image are updated through the transformational matrix according to the matrix transformation model, and color correction and transformation of the target image is finished. By means of the method for realizing the image color correction and transformation based on the sample image in the computer system, the problem that image colors are distributed unevenly is solved. Meanwhile, calculation of a matching matrix is realized. The chromaticity of the target image is calculated through a Newton chromatic aberration optimization method, so that the problems which cannot be solved through a traditional color correction method based on the sample image are solved, and the correctness of color correction in an overall mode and a local mode can be guaranteed. Moreover, the processing process is simple and fast, efficiency is high, working performance is stable and reliable, and the application range is wide.

Description

technical field [0001] The present invention relates to the field of computer image processing, in particular to the technical field of image color correction, and specifically refers to a method for realizing image color correction and transformation based on sample images in a computer system. Background technique [0002] Image color correction is the process of changing the color of an input image. Early color correction techniques were primarily used with color photographs or films, and they were often processed with artificial coloring. The workload of doing this is huge. With the advent of computer technology, computer-aided color correction methods have greatly improved the efficiency of processing. Computer-aided color correction methods are generally divided into: template-based methods and semi-manual intervention methods. The biggest challenge for the former to do color correction is to obtain a suitable image template. The latter is to adjust the color of th...

AI Technical Summary

Problems solved by technology

However, these methods fail to consider the local color difference of the image, which easily leads to the inconsistency of the local distribution after color correction.

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