The perception of color is one of the most important aspects of human vision. From an evolutionary perspective, the accurate perception of color is crucial to distinguishing friend from foe, and food from fatal poison. As a result, humans have developed a keen sense of color and are able to detect subtle differences in appearance, while also robustly identifying colors across illumination and viewing conditions. In this paper, we shall briefly review methods for adapting traditional color appearance and difference models to complex image stimuli, and propose mechanisms to improve their performance. In particular, we find that applying contrast sensitivity functions and local adaptation rules in an edge-aware manner improves image difference predictions.

翻译：颜色感知是人类视觉最重要的方面之一。从进化角度来看，精确的颜色感知对于区分敌友、辨别食物与致命毒物至关重要。因此，人类进化出敏锐的色彩感知能力，既能察觉外观上的细微差异，又能在不同光照和观察条件下稳健识别颜色。本文简要回顾了将传统颜色外观与差异模型适配到复杂图像刺激的方法，并提出改进其性能的技术方案。特别地，我们发现，以边缘感知方式应用对比敏感度函数和局部自适应规则可显著提升图像差异预测效果。