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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: Stephen A. Burns
  • Vol. 24, Iss. 10 — Oct. 1, 2007
  • pp: 3289–3296

Phase retrieval and saddle-point optimization

Stefano Marchesini  »View Author Affiliations


JOSA A, Vol. 24, Issue 10, pp. 3289-3296 (2007)
http://dx.doi.org/10.1364/JOSAA.24.003289


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Abstract

Iterative algorithms with feedback are among the most powerful and versatile optimization methods for phase retrieval. Among these, the hybrid input–output algorithm has demonstrated practical solutions to giga-element nonlinear phase retrieval problems, escaping local minima and producing images at resolutions beyond the capabilities of lens-based optical methods. Here the input–output iteration is improved by a lower-dimensional subspace saddle-point optimization.

© 2007 Optical Society of America

OCIS Codes
(100.3190) Image processing : Inverse problems
(100.5070) Image processing : Phase retrieval

ToC Category:
Image Processing

History
Original Manuscript: December 22, 2006
Revised Manuscript: May 12, 2007
Manuscript Accepted: June 26, 2007
Published: September 21, 2007

Citation
Stefano Marchesini, "Phase retrieval and saddle-point optimization," J. Opt. Soc. Am. A 24, 3289-3296 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-10-3289

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