This repo is to implement color adjustment algorithm based on colorchecker.
The main idea of the algorithm is as follows: input a picture with a colorchecker, linearize the input colorchecker colors, and then use the color correction matrix(CCM) to linearly transform the former result to minimize the distance from the standard colorchecker colors. The goal of optimization is the ccm matrix.
After the ccm matrix is calculated, you can enter the picture for correction. The input picture is linearized, then multiplied by the ccm matrix, and then inversely linearized. Note that the rules for linearization and delinearization may be different.
《数字图像处理》课程中的部分算法实现----采用matlab
LimitOnDirsSize是基于C#语言开发的程序,该程
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在公期间,负责公司测绘软件功能的二次开发,和技术难点的研究,
算法工程师可在平台管理算法版本、算法部署。部署之后可跟第三方
PyTorch implementations of the
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