为了客观正确地衡量图像编码质量，基于重要性测度和模糊积分，给出了一种评价图像编码质量的新方法，该方法的第1步，首先分别计算图像在边缘、纹理和平坦区域各部分的误差，然后根据评价函数给出各部分的评价值，最后再根据边缘、纹理和平坦区域的重要性测度给出一个全局评价值；第2步，首先根据误差发生的位置来确定重要性测度，然后在这个重要性测度下，通过对全部像素的误差进行模糊积分来给出一个精细评价值；第3步，基于前面两步的评价值给出最终的评价值。实验结果表明，从和人的主观测试(MOS)的相关系数的角度来衡量，该方法明显高于PQS、峰值信噪比、加权均方差等方法。

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.