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Proceedings Article

Fast algorithms for phase-diversity-based blind deconvolution

[+] Author Affiliations
Curtis R. Vogel

Montana State Univ. (USA)

Tony F. Chan

Univ. of California/Los Angeles (USA)

Robert J. Plemmons

Wake Forest Univ. (USA)

Proc. SPIE 3353, Adaptive Optical System Technologies, 994 (September 11, 1998); doi:10.1117/12.321720
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From Conference Volume 3353

  • Adaptive Optical System Technologies
  • Domenico Bonaccini; Robert K. Tyson
  • Kona, HI | March 20, 1998

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.

© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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, 994 (September 11, 1998); doi:10.1117/12.321720; http://dx.doi.org/10.1117/12.321720


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