Blind deconvolution of noisy complex-valued image

Physics – Optics

Scientific paper

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Scientific paper

A new algorithm, resulting from adaptions of iterative techniques for blind deconvolution developed by Ayers and Dainty and by ourselves, is introduced. The new algorithm allows the blind deconvolution of a single blurred image, each of whose pixels is complex valued. Result are reported of applying the algorithm to images contaminated with pseudo-random noise. The effect upon the algorithm's convergence of introducing various constraints is reported.

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