Presentation 1996/6/21
A Noise-Smoothing Filtering Based on Adaptive Windowing for Penumbral Imaging
Hiroshi ARAKAWA, Yen-Wei CHEN, Zensho NAKAO, Katsumi YAMASHITA, Shinichi TAMURA,
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Abstract(in English) In penumbral imaging, the noise contained in encoded image will significantly affect decodede image. In this paper we proposed to use an adaptive windowing method to filter the noise of the encoded images, followed by conventional decoding method . The proposed adaptive windowing method can filter the noise with any blurring of the edge. The applicanbility of the proposed method for penumbral imaging has been demonstrated by computer simulations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) adaptive window size / noise / Lee's algorithm / penumbral imaging
Paper # IE96-17
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Committee IE
Conference Date 1996/6/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Noise-Smoothing Filtering Based on Adaptive Windowing for Penumbral Imaging
Sub Title (in English)
Keyword(1) adaptive window size
Keyword(2) noise
Keyword(3) Lee's algorithm
Keyword(4) penumbral imaging
1st Author's Name Hiroshi ARAKAWA
1st Author's Affiliation Faculty of Engineering, University of the Ryukyus()
2nd Author's Name Yen-Wei CHEN
2nd Author's Affiliation Faculty of Engineering, University of the Ryukyus
3rd Author's Name Zensho NAKAO
3rd Author's Affiliation Faculty of Engineering, University of the Ryukyus
4th Author's Name Katsumi YAMASHITA
4th Author's Affiliation Faculty of Engineering, University of the Ryukyus
5th Author's Name Shinichi TAMURA
5th Author's Affiliation Medical School, Osaka University
Date 1996/6/21
Paper # IE96-17
Volume (vol) vol.96
Number (no) 116
Page pp.pp.-
#Pages 6
Date of Issue