Gradient-projection blind deconvolution

We present a gradient-projection algorithm for solving the classical blind deconvolution problem. In our approach all known a priori information about both the unknown source and blurring functions is expressed via constraint sets. In computer simulations, the algorithm performed well even when the prior information was not accurate. In this study the algorithm is also compared with a conjugate gradient algorithm proposed by Lane (see J. Opt. Soc. Am. A, vol.9, no.9, p.1508-1514, 1992)