No-reference color image quality assessment method on basis of sparse representation

The invention discloses a no-reference color image quality assessment method on the basis of the sparse representation and belongs to the technical field of digital image processing. For images to be evaluated, the no-reference color image quality assessment method includes selecting an image block with the maximum pixel spatial correlation difference from an HSV (hue, saturation and value) color space, and matching elements in a dictionary by the image blocks, wherein each element in the dictionary is composed of the image block with the maximum pixel spatial correlation difference in a training image set, DMOS (differential mean opinion score) and the maximum difference; adopting a matching and tracking method to obtain sparse representation of the images to be evaluated in the dictionary, and setting up the color image quality assessment indexes by the DMOS and the maximum difference of the selected elements from the dictionary. The element dictionary forming method is simple and clear, the extracted characteristics more conform to visual perception of human eyes, the integral algorithm is simpler, and the quality assessment results are more accurate.