With the widespread application of high dynamic range (HDR) images in display technology and visual communication, the visual perception quality during tone mapping has become a critical factor affecting image quality. Existing evaluation systems have obvious shortcomings in terms of subjective and objective consistency and the accuracy of metric quantification, which constrain the further optimization and application promotion of tone mapping algorithms. To address this issue, this paper constructs a visual perception quantification index system covering brightness, contrast, structure preservation, and color naturalness based on typical tone mapping algorithms. It designs and implements comprehensive subjective and objective experiments, systematically collects and analyzes quantitative data to verify the effectiveness and adaptability of the index system. The aim is to provide a scientific evaluation basis for optimizing the quality of HDR image tone mapping, promoting the iteration and practical application of algorithm-driven visual perception.