In order to assess image coding quality objectively and accurately

based on importance measures and fuzzy integral

a new objective assessment approach for image coding quality is proposed in this paper. The first step of this approach is: firstly the errors at edge

texture and flat-region are computed separately

then the errors are assessed according to the assessment function

lastly a global evaluation is obtained based on the importance measure on edge

texture and flat-region. The second step of this approach is: firstly a importance measure is established depending on the positions where the errors occur

then a subtle evaluation is acquired by fuzzy integral on all of the errors which occur at the pixels of the image. The third step of this approach is: a final evaluation is given based on the evaluations obtained in the previous two steps. Experimental results show that from the viewpoint of correlation coefficient

the proposed approach is obviously better than the others such as PQS、PSNR、 WMSE.