Regularization of RIF blind image deconvolution

Blind image restoration is the process of estimating both the true image an d the blur from the degraded image, using only partial information about de gradation sources and the imaging system. Our main interest concerns optica l image enhancement, where the degradation often involves a convolution pro cess. We provide a method to incorporate truncated eigenvalue and total var iation regularization into a nonlinear recursive inverse filter (RIF) blind deconvolution scheme first proposed by Kundur and Hatzinakos. Tests are re ported on simulated and optical imaging problems.