Color image quality estimating method based on super-complex

The invention is a color image quality evaluation method based on super-complex relating to image quality evaluation technical field. It describes three-color R, G, S values of color image as a whole super-complex vector, and indicates the common quality indexes of color image which are based on five combinations of color image false, correlating expense, luminance distortion, contrast and color distortion. According to HSI (hue, saturation, brightness) color model, the relationship between the mentioned common quality indexes of color image and gray image is discussed. The experimental results from various color image distortions show that the mentioned common quality indexes are not only prior to the existing method on the assessment of gray part, but also able to determine the distortion mainly occurs in the structure or color information.