Fast algorithms for phase-diversity-based blind deconvolution

Details Fast algorithms for phase-diversity-based blind deconvolution Fast algorithms for phase-diversity-based blind deconvolution

Sep 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998spie.3353..994v&link_type=abstract

Proc. SPIE Vol. 3353, p. 994-1005, Adaptive Optical System Technologies, Domenico Bonaccini; Robert K. Tyson; Eds.

Physics

6

Scientific paper

Phase diversity is a technique for obtaining estimates of both the object and the phase, by exploiting the simultaneous collection of two short-exposure optical images, one of which has been formed by further blurring regularized variant of the Gauss-Newton optimization method for phase diversity-based estimated when a Gaussian likelihood fit-to-data criterion is applied. Simulation studies are provided to demonstrate that the method is remarkably robust and numerically efficient.

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