Image compression could be regarded as a compromise between the bit ratio and perceptual distortion. Image quality evaluation plays a very important role in the design

optimization and evaluation of an image compression algorithm. Classical image quality evaluation methods such as MOS

MSE and PSNR can not represent distortion perceived by human eyes. New measurements are based on HVS (Human Visual System). They are generally defined as a function of Amplitude Nonlinear it y

CSF

Detection M echanisms. We build a general evaluation model on HVS by B spline wavelet and error signal segmentation technology. The future of image quality evaluation will be directed to psychology and physiology experiments

the simplification of HVS and generalization of evaluation model.