When Point Spread Function (PSF) is not known or only partially determined

restoration of the degraded images is called blind image restoration.MSE is used as criterion in the traditional blind image restoration methods

which considers little the influence of human vision psychology.But all images are eventually perceived and interpreted by the human visual system.So this paper proposes a new blind image restoration algorithm based on models of visual characteristic.An iterative scheme using alternating minimization is devised to recover the image and simultaneously identify the PSF.In the process of identification

total variation (TV) regularization method is used.Then in the process of restoration

Weberized TV restoration approaches is applied.The result of experiment shows that this restoration model produces better effect without known PSF.