Maximum entropy method for diffractive imaging

Shioya, Hiroyuki; Gohara, Kazutoshi

Journal of the Optical Society of America A, 2008, 25(11), 2846-2850

Permalink : https://hdl.handle.net/2115/45415

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アクセス権	open access
URI	https://hdl.handle.net/2115/45415
タイトル	Maximum entropy method for diffractive imaging
著者	著者名 Shioya, Hiroyuki
著者	著者名 Gohara, Kazutoshi
言語	英語
キーワード	Image processing
	Phase retrieval
	Image recognition
	algorithms and filters
発行日	2008-11
出版者	Optical Society of America
収録物名	Journal of the Optical Society of America A
巻(号)	25(11)
ページ	2846-2850
抄録	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.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	© 2008 Optical Society of America, Inc.
PISSN	1084-7529
EISSN	1520-8532
NCID	AA11003312
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1364/JOSAA.25.002846