A regularization approach to blind restoration of images degraded by shift-variant blurs

This paper presents shift-adaptive blind image restoration algorithms which can deal with realistic shift-variant blurs and which integrate the usually separate tasks of blur identification and image restoration. The key to success is the effective utilization of the piecewise smoothness of both the image and the PSF to compensate for the severe lack of information in this type of problems. This is achieved through regularization of the image and the point spread function (PSF) by anisotropic diffusion which has the property that smoothing is allowed only in the direction of edges