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Maximum entropy method for diffractive imaging

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Title: Maximum entropy method for diffractive imaging
Authors: Shioya, Hiroyuki Browse this author
Gohara, Kazutoshi Browse this author
Keywords: Image processing
Phase retrieval
Image recognition
algorithms and filters
Issue Date: Nov-2008
Publisher: Optical Society of America
Journal Title: Journal of the Optical Society of America A
Volume: 25
Issue: 11
Start Page: 2846
End Page: 2850
Publisher DOI: 10.1364/JOSAA.25.002846
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.
Rights: © 2008 Optical Society of America, Inc.
Type: article
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 郷原 一寿

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