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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 31, Iss. 7 — Jul. 1, 2014
  • pp: 1348–1359

Applications of algorithmic differentiation to phase retrieval algorithms

Alden S. Jurling and James R. Fienup  »View Author Affiliations


JOSA A, Vol. 31, Issue 7, pp. 1348-1359 (2014)
http://dx.doi.org/10.1364/JOSAA.31.001348


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Abstract

In this paper, we generalize the techniques of reverse-mode algorithmic differentiation to include elementary operations on multidimensional arrays of complex numbers. We explore the application of the algorithmic differentiation to phase retrieval error metrics and show that reverse-mode algorithmic differentiation provides a framework for straightforward calculation of gradients of complicated error metrics without resorting to finite differences or laborious symbolic differentiation.

© 2014 Optical Society of America

OCIS Codes
(000.3860) General : Mathematical methods in physics
(000.4430) General : Numerical approximation and analysis
(010.7350) Atmospheric and oceanic optics : Wave-front sensing
(100.5070) Image processing : Phase retrieval

ToC Category:
Image Processing

History
Original Manuscript: April 2, 2014
Revised Manuscript: April 4, 2014
Manuscript Accepted: April 22, 2014
Published: June 9, 2014

Citation
Alden S. Jurling and James R. Fienup, "Applications of algorithmic differentiation to phase retrieval algorithms," J. Opt. Soc. Am. A 31, 1348-1359 (2014)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-7-1348

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