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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Engineering / Faculty of Engineering >
Peer-reviewed Journal Articles, etc >
Maximum entropy method for diffractive imaging
| 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 |
| URI: | http://hdl.handle.net/2115/45415 |
| 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)
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Submitter: 郷原 一寿
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