Image Quality Estimation Based on Multi-linear Analysis
基于多元线性回归的图像质量评价方法

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 multi-linear 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.