Presentation 2016-03-11
Impulse Noise Removal by Extended Median Filter Utilizing Minimum Spanning Tree with 8-neighborhood
Saki Asamoto, Takanori Koga,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we propose a random-valued impulse noise removal method with superior detail preservation capability by an extended median filter. This filter uses both a median filter with a square window and that with an adaptive one constructed by using 8-neighborhood minimum spanning tree (MST). Median filter with a square window has superior capability in the impulse noise removal. However, it tends to destroy detailed structure in an image. To cope with this problem, the proposed method calculates a weighted median by using the pixels both in the square window and the adaptive one which fits to the details in the image. In this paper, the superior performance of the proposed method is verified through the experiments with gray-scale and colored natural and artificial images by comparing with some MST-based noise removal methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) random-valued impulse noise / minimum spanning tree / 8-neighborhood / detail-preservation
Paper # SIS2015-63
Date of Issue 2016-03-03 (SIS)

Conference Information
Committee SIS
Conference Date 2016/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo City Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Soft computing, etc.
Chair Mitsuji Muneyasu(Kansai Univ.)
Vice Chair Hirokazu Tanaka(Hiroshima City Univ.) / Takayuki Nakachi(NTT)
Secretary Hirokazu Tanaka(Nagoya City Univ.) / Takayuki Nakachi(Toshiba)
Assistant Hiroyuki Tsuji(Kanagawa Inst. of Tech.) / Hakaru Tamukoh(Kyushu Inst. of Tech.)

Paper Information
Registration To Technical Committee on Smart Info-Media System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Impulse Noise Removal by Extended Median Filter Utilizing Minimum Spanning Tree with 8-neighborhood
Sub Title (in English)
Keyword(1) random-valued impulse noise
Keyword(2) minimum spanning tree
Keyword(3) 8-neighborhood
Keyword(4) detail-preservation
1st Author's Name Saki Asamoto
1st Author's Affiliation National Institute of Technology, Tokuyama College(NIT, Tokuyama College)
2nd Author's Name Takanori Koga
2nd Author's Affiliation National Institute of Technology, Tokuyama College(NIT, Tokuyama College)
Date 2016-03-11
Paper # SIS2015-63
Volume (vol) vol.115
Number (no) SIS-505
Page pp.pp.87-92(SIS),
#Pages 6
Date of Issue 2016-03-03 (SIS)