Fast algorithms for phase-diversity-based blind deconvolution

Curtis R. Vogel; Tony F. Chan; Robert J. Plemmons

doi:10.1117/12.321720

11 September 1998 Fast algorithms for phase-diversity-based blind deconvolution

Curtis R. Vogel, Tony F. Chan, Robert J. Plemmons

Proceedings Volume 3353, Adaptive Optical System Technologies; (1998) https://doi.org/10.1117/12.321720
Event: Astronomical Telescopes and Instrumentation, 1998, Kona, HI, United States

Abstract

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.

Citation Download Citation

Curtis R. Vogel, Tony F. Chan, and Robert J. Plemmons "Fast algorithms for phase-diversity-based blind deconvolution", Proc. SPIE 3353, Adaptive Optical System Technologies, (11 September 1998); https://doi.org/10.1117/12.321720

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