Presentation 1999/7/22
Robustness of Directional Difference Filter for Detection Error of Noise Detector
Yuuhei HASHIMOTO, Yoshinobu KAJIKAWA, Yasuo NOMURA,
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Abstract(in English) In this paper, we propose a directional difference filter, which has the superior impulsive noise removal ability and the original signal preservation. The proposed filter estimates the value of pixel at a processing point from form information of edge in the local domain and restores that value at the point consecutively, so that we can achieve to remove impulsive noise with high probability. By using the proposed method, we can preserve the original signal robustly for the detection error of noise detector. This filter effectively as the postprocessor of noise detector used for removing a high generating probability noise. In this paper, we show that the proposed method has the robustness for detection error of real noise detector and is superior to a conventional noise reducing filter on image processing from experiments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) directional difference filter / noise ditector / original signal preservation / impulsive noise removal
Paper # CS99-69
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Committee CS
Conference Date 1999/7/22(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Robustness of Directional Difference Filter for Detection Error of Noise Detector
Sub Title (in English)
Keyword(1) directional difference filter
Keyword(2) noise ditector
Keyword(3) original signal preservation
Keyword(4) impulsive noise removal
1st Author's Name Yuuhei HASHIMOTO
1st Author's Affiliation Department of Electronics, Faculty of Engineering, Kansai University()
2nd Author's Name Yoshinobu KAJIKAWA
2nd Author's Affiliation Department of Electronics, Faculty of Engineering, Kansai University
3rd Author's Name Yasuo NOMURA
3rd Author's Affiliation Department of Electronics, Faculty of Engineering, Kansai University
Date 1999/7/22
Paper # CS99-69
Volume (vol) vol.99
Number (no) 200
Page pp.pp.-
#Pages 6
Date of Issue