基于视觉评价模型的色域匹配算法

Color gamut mapping algorithm based on vision evaluation model

针对跨设备再现色彩时色域不匹配的问题,提出一种符合视觉感知的色域匹配算法.首先基于色域匹配的主观评价定义了一种视觉评价模型,并验证了它与主观评价结果的一致性;然后以该模型为指导,考虑图像的色彩和空间统计特征,采取分治策略并构造匹配融合模型实现色域映射.实验表明该算法获得的图像匹配结果较传统算法在颜色相似度和细节保持方面均有明显的提高.

To solve gamut mismatch problems in color reproduction across different devices, a new color gamut mapping algorithm is proposed. First, by analyzing the subjective assessment process, a gamut mapping evaluation model via human vision system is defined, and their consistence is proved. Then under the guidance of the model and by considering both image colors and image spatial characteristics, a divide and conquer scheme is employed and a mapping fusion model is constructed to implement the method. Experiments show that the proposed algorithm has obvious advantage over traditional ones, esoecially in color difference and image details.