Color is integral to human experience, influencing emotions, decisions, and perceptions. This paper presents a comparative analysis of various color models' alignment with human visual perception. The study evaluates color models such as RGB, HSV, HSL, XYZ, CIELAB, and CIELUV to assess their effectiveness in accurately representing how humans perceive color. We evaluate each model based on its ability to accurately reflect visual color differences and dominant palette extraction compatible with the human eye. In image processing, accurate assessment of color difference is essential for applications ranging from digital design to quality control. Current color difference metrics do not always match how people see colors, causing issues in accurately judging subtle differences. Understanding how different color models align with human visual perception is crucial for various applications in image processing, digital media, and design.

翻译：色彩是人类体验中不可或缺的部分，深刻影响着情感、决策与感知。本文对不同色彩模型与人类视觉感知的匹配度进行了比较分析。研究评估了RGB、HSV、HSL、XYZ、CIELAB及CIELUV等色彩模型，以考察它们在准确表征人类色彩感知方面的有效性。我们基于各模型准确反映视觉色差及提取符合人眼感知的主导色彩方案的能力进行评估。在图像处理中，准确的色差评估对于从数字设计到质量控制的各类应用至关重要。现有的色差度量方法并不总能匹配人眼对色彩的感知，导致在精确判断细微色差时产生偏差。理解不同色彩模型与人类视觉感知的契合度，对于图像处理、数字媒体及设计领域的众多应用具有重要意义。