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Title :A New De-Noising Method of Laser-Produced Plasma Penumbral Images by Principal Component Analysis
Authors :Nozaki, Shinya
Kinjo, Atsushi
Fujioka, Shinsuke
Azuma, Rumiko
Chen, Yen-Wei
Namihira, Yoshinori
Issue Date :2012
Abstract :Penumbral imaging technique can be applied to highly penetrating radiations such that of as neutrons. In penumbral imaging, the source image can be recovered from its penumbral image by deconvolution. The method is an efficient imaging technique for fast ignition research. However, the γ rays produced by the fast-heating laser pollute the penumbral image as noise. Conventional deconvolution methods like the Wiener filter cannot obtain a clear reconstructed image from noisy penumbral image. In this paper, we proposea new reconstruction method by principal component analysis (PCA). The method can efficiently remove the noise by “training” images obtained from other experiments. We used the (2D)^2PCA method as a noise reduction method, which is one of the PCA methods. The efficacy of the proposed method is demonstrated by computer simulation.
URL :https://doi.org/10.1585/pfr.7.2404120
Type Local :雑誌掲載論文
ISSN :1880-6821
Publisher :The Japan Society of Plasma Science and Nuclear Fusion Research
URI :http://hdl.handle.net/20.500.12000/46088
Citation :Plasma and Fusion Research Vol.7 p.2404120-1 -2404120-4
Appears in Collections:Peer-reviewed Journal Articles (Faculty of Engineering)

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