Presentation 2000/5/11
Impulse Noise Removal Using High Performance Impulse Detector
Yuuhei HASHIMOTO, Yoshinobu KAJIKAWA, Yasuo NOMURA,
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Abstract(in English) A novel impulse detector having the effectiveness in the removal of impulse noise with high probability is proposed in this paper. The proposed impulse detection algorithm can detect pixels corrupted by impulse noise in detail parts on images, whereas the conventinal impulse detectors are impossible to detect such ones. Hence, the proposed detector is useful to restore highly corrupted images. Moreover, the conventional impulse detectors have a problem to detect not only impulse pixels but also original signal pixels on step edges, so that such step signals are suppressed after noise removal filtering. The proposed detector, however, does not detect original pixels on such edge parts. and it effcctively works on preserving original signal. First we analyze such problem of the conventional impulse detection algorithm, and investigate that the proposed detection algorithm is equivalent to the high performance detector which can solve them in this paper. Next, we show that the proposed detector can improve the restoration performance of the conventional noise removal filters through the results processed by the noise removal filters applying the proposed detector. Experiment results comparing the proposed impulse detecor and the ideal one demonstrate that the proposed one is similar in impulse detection ability to the ideal one.
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Keyword(in English) impulse detector / impulsive noise removal / Progressive Switching Median filter / noise detection ability
Paper # DSP2000-21
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Conference Information
Committee DSP
Conference Date 2000/5/11(1days)
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Paper Information
Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Impulse Noise Removal Using High Performance Impulse Detector
Sub Title (in English)
Keyword(1) impulse detector
Keyword(2) impulsive noise removal
Keyword(3) Progressive Switching Median filter
Keyword(4) noise detection ability
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 2000/5/11
Paper # DSP2000-21
Volume (vol) vol.100
Number (no) 50
Page pp.pp.-
#Pages 8
Date of Issue