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).<>
Gradient-projection blind deconvolution
Proceedings of 1st International Conference on Image Processing ; 3 ; 192-196 vol.3
1994-01-01
412359 byte
Conference paper
Electronic Resource
English
Gradient-Projection Blind Deconvolution
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