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Evaluating Gamut Mapping Algorithms for Universal Applicability

机译:评估色域映射算法的普遍适用性

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摘要

The aim of this articles is to present the evaluation of gamut mapping algorithms(GMAa)in a series of three experiments intended to serve as the basis of developing solutions that are accurate and universally applicable. An evolutionary gamut mapping development strategy is used, in which five test images are reproduced between a CRT and printed media obtained using different GMAs. Initially, a number of previously published algorithms were important and psychophsically evaluation was the separate evaluation characteristic of this evaluation was the separate evaluation for individual colour regions within test images.
机译:本文的目的是在一系列三个实验中介绍色域映射算法(GMAa)的评估,这些实验旨在作为开发准确且通用的解决方案的基础。使用了一种进化色域映射开发策略,其中在CRT和使用不同GMA获得的打印介质之间复制了五个测试图像。最初,许多先前发布的算法很重要,并且心理评估是此评估的单独评估特征,是对测试图像中各个颜色区域的单独评估。

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