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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. 25, Iss. 11 — Nov. 1, 2008
  • pp: 2846–2850

Maximum entropy method for diffractive imaging

Hiroyuki Shioya and Kazutoshi Gohara  »View Author Affiliations


JOSA A, Vol. 25, Issue 11, pp. 2846-2850 (2008)
http://dx.doi.org/10.1364/JOSAA.25.002846


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Abstract

Based on the minimization of the Lagrange formula, which is composed of two kinds of information measure, the maximum entropy method (MEM) is derived for diffractive imaging contaminated by quantum noise. This gives a suitable object corresponding to the maximum entropy principle with an iterative procedure. The MEM-based iterative phase retrieval algorithm with the initial process of the hybrid input–output (HIO-MEM) is presented, and a simple numerical example shows that the algorithm is effective for Poisson noise added to Fourier intensity. The relationship between the newly derived MEM for diffractive imaging and the conventional MEM for structure analysis based on crystallography is revealed.

© 2008 Optical Society of America

OCIS Codes
(100.5070) Image processing : Phase retrieval
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:
Image Processing

History
Original Manuscript: March 18, 2008
Revised Manuscript: September 8, 2008
Manuscript Accepted: September 8, 2008
Published: October 24, 2008

Citation
Hiroyuki Shioya and Kazutoshi Gohara, "Maximum entropy method for diffractive imaging," J. Opt. Soc. Am. A 25, 2846-2850 (2008)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-25-11-2846


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