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.

本研究通过对 RGB、HSV、HSL、XYZ、CIELAB 和 CIELUV 等多种颜色模型进行比较分析，评估它们在准确反映人类感知颜色方面的有效性，从而评价它们在准确反映视觉颜色差异和与人眼兼容的主导调色板提取方面的能力，以便应用于图像处理，数字媒体和设计等相关领域。