  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.
