As an important carrier of revolutionary cultural heritage, Chinese red cartoons have profound political value and practical significance. This study focuses on the application of image enhancement technology to deeply analyze the expression of revolutionary visual symbols in Chinese red cartoons. Based on the theory of the human eye visual system, an image enhancement model containing the characteristics of gray scale distribution, luminance sensitivity and contrast sensitivity is constructed, and an image enhancement method based on visual perception characteristics is designed. The experimental results show that when the color information of the 181°-360° region of the H channel is used as the weight map to improve the image brightness, the AG value can be up to 3.69, which is significantly higher than that of other regions; when the value of the weight value of the S channel is taken in the range of 40-60%, the EME index can be up to 51.66, and the overall quality of the image is improved significantly. By comparing multiple enhancement algorithms, the method proposed in this paper achieves better results in lowlight cartoon image processing. The research results not only contribute to the inheritance of the spirit of red culture, but also provide technical support for the emotional design of red visual symbols and promote the improvement of the visual expression of red cartoons.
