Quality Prediction Analysis of Computer Image Visual Psychology Based on Analysis of the Color Composition

In visual art and design, color composition not only affects the aesthetic value of the work but also plays a deeper role in the psychological feelings and emotional reactions of the audience. The purpose of this study is to explore how color composition affects the prediction of the psychological quality of images so as to provide scientific guidance for artistic creation and design. By using the theories and methods of psychology, aesthetics and computer science, this study conducted a series of experiments and analyses to reveal the mechanism of different color configurations in visual perception and their impact on image quality evaluation. The relevant literature on color theory and visual psychology is understood, and the theoretical framework of the research is established. Then, using computer vision technology, a large number of images with different colors were evaluated for visual quality to obtain objective data. Viewers’ subjective evaluations of these images were collected to examine how color composition affects an individual’s visual experience and emotional response. Color saturation, contrast and tone matching have significant effects on the prediction of the visual psychological quality of images. Color configurations with high saturation and moderate contrast can enhance the appeal and viewing value of the image, while harmonious color combinations can help trigger a positive emotional response from the viewer. In addition, the study also found that individual differences, such as gender, age and cultural background, also affect the effect of color composition on the prediction of visual psychological quality.