Compensation and Improvement of Intensity and Distribution in Reconstructed Image Using Adaptive Optics in Holographic Data Storage
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概要
- 論文の詳細を見る
We applied a genetic algorithm to adaptive optics to improve the intensity and distribution of reconstructed images in holographic data storage. This is a kind of combinatorial optimisation. In holographic data storage, the photopolymer recording medium shrinks during light curing and this shrinkage distorts the recorded interference fringes, which degrades the reconstructed data images. Although it is possible to compensate for the degradation in the reconstructed image by using adaptive optics, it has been difficult to compensate for the shrinkage distortion by using normal feedback control because the relationship between the reconstructed image and deformable mirror input is nonlinear. With our method, the inverse variance coefficient in a reconstructed image with bits that are all "1" increased from 10.3 to 14.7 dB, an improvement of 4.4 dB. Moreover, the intensity average of the reconstructed image with compensation was 1.7 times higher than the average without compensation. These results show that the combination of adaptive optics and a genetic algorithm is very effective for improving reconstructed images.
- Published by the Japan Society of Applied Physics through the Institute of Pure and Applied Physicsの論文
- 2008-07-25
著者
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Wilson Tony
Department Of Engineering Science Oxford University
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Booth Martin
Department Of Engineering Science Oxford University
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Juskaitis Rimas
Department Of Engineering Science Oxford University
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ISHII Norihiko
NHK Science and Technical Research Laboratories
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KINOSHITA Nobuhiro
NHK Science and Technical Research Laboratories
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SHIMIDZU Naoki
NHK Science and Technical Research Laboratories
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Kamijo Koji
Nhk Science And Technical Research Laboratories
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Booth Martin
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom
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Muroi Tetsuhiko
NHK Science and Technical Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan
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Sekiguchi Sayaka
Department of Materials Science and Engineering, Tokyo Denki University, 2-2 Kanda-Nishiki-cho, Chiyoda-ku, Tokyo 101-8457, Japan
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Shimidzu Naoki
NHK Science and Technical Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan
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Kamijo Koji
NHK Science and Technical Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan
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Ishii Norihiko
NHK Science and Technical Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan
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Kinoshita Nobuhiro
NHK Science and Technical Research Laboratories, 1-10-11 Kinuta, Setagaya-ku, Tokyo 157-8510, Japan
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Wilson Tony
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom
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Juskaitis Rimas
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom
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