PROJECTION-BASED BLIND DECONVOLUTION

We present a new projection-based algorithm for solving the classical blind-deconvolution problem. In our approach all known a priori inform ation about both the unknown source and the blurring functions is expr essed through constraint sets. In computer simulations the algorithm p erformed well even when the prior information was not accurate. To see how well our algorithm compares against others, we compared it with a nother recently published deconvolution method [J. Opt. Soc. Am. A 9, 932 (1992)]. The advantages of each method are discussed.