Objective image quality assessment

which automatically values the image quality consistently with subjective perception

is important to numerous image and video processing applications

especially in image coding In this paper

a new objective measure for image coding quality based on image structure is proposed First of all

the structure information is calculated by projecting the reference image onto the base functions using the algorithm of matching pursuit Secondly

the structure information of the coded image in the order of importance is computed and gained

and the characteristics of the importance of the structure information are given

using the structure information of the reference image Finally the objective quality score is concluded by comparing the differences of structure information between the reference and the coded images And the separable 2-D Gabor base functions are selected as the dictionary for the algorithm of matching pursuit Experimental results show that the proposed approach is consistent with the subjective quality score