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 information about both the unknown source and the blurring functions is expressed through constraint sets. In computer simulations the algorithm performed well even when the prior information was not accurate. To see how well our algorithm compares against others, we compared it with another recently published deconvolution method [J. Opt. Soc. Am. A 9, 932 (1992)]. The advantages of each method are discussed.