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Conference Paper
Computational Optical Sensing and Imaging
Toronto Canada
July 10-14, 2011
ISBN: 978-1-55752-914-5
Phase-based Techniques (CMC)

Schulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm

Figen S. Oktem and Richard E. Blahut  »View Author Affiliations


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We derive the Schulz-Snyder phase retrieval algorithm as an alternating minimization method, and discuss its advantages and drawbacks. An annealing-type Schulz-Snyder algorithm is proposed to avoid convergence to nonglobal solutions.

© 2011 OSA

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.5070) Image processing : Phase retrieval

F. S. Oktem and R. E. Blahut, "Schulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm," in Imaging and Applied Optics, OSA Technical Digest (CD) (Optical Society of America, 2011), paper CMC3.

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