We describe the development of the objective quality estimation. For some typical methods

we classified them into several groups. Spearman correlation coefficient and Pearson correlation coefficient of given image quality methods of different kind of distortion such as compression

noise and so on are analyzed. It turns out that different methods have different simulations to different distorted images. After that multilinear regression analysis is used to integrate the advantages of different methods and then we get a new image quality estimation which can simulate smartly all kind of distortions. In our experiment

by analyzing the correlation coefficient we prove that our new quality estimation is robust.