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No. 54 (1997/09) >

 
Title :A Noise-Smoothing Filter Based on Adaptive Windowing and Its Application to Penumbral Imaging
Authors :Chen, Y.-W.
Arakawa, H.
Nakao, Z.
Yamashita, K.
Kodama, R.
Authors alternative :陳, 延偉
仲尾, 善勝
Nakao, Zensho
Issue Date :Sep-1997
Abstract :Penumbral imaging is a technique which uses the facts that spatial information can be recovered from the shadow or penumbra that an unknown source casts through a simple large circular aperture. The technique is based on a linear deconvolution. In this paper, a two-step method is proposed for decoding penumbral images. First a local-statistic filter based on adaptive windowing is applied to smooth the noise; then, followed by the conventional linear deconvolution. The simulation results show that the reconstructed image is dramatically improved in comparison to that without the noise-smoothing filtering, and the proposed method is also applied to real experimetal x-ray imaging.
Type Local :紀要論文
ISSN :0389-102X
Publisher :琉球大学工学部
URI :http://hdl.handle.net/20.500.12000/1972
Citation :琉球大学工学部紀要 no.54 p.45 -52
Appears in Collections:No. 54 (1997/09)

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