Presentation 2017-10-05
Weight Function of Non-local Means Considering Image Characteristic for Poisson Noise Reduction
Kousuke Imamura, Naoki Kimura, Yoshio Matsuda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a new weight function of non-local means for Poisson noise reduction from an image. The conventional non-local means method can reduce Gaussian noise, but it cannot reduce Poisson noise well. In our proposed method, we introduced a new term for Poisson noise reduction to the weight function, and a correction factor for noise reduction strength was set to suitable value based on both the edge characteristic and the estimated noise amount of the noised image. We demonstrated that the Poisson noise reduction performance of the proposed method is an improvement of 0.6-1.3 dB compared to that of the conventional non-local means method by computer simulations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Poisson noise reduction / Non-local means / Weight function
Paper # IE2017-57
Date of Issue 2017-09-28 (IE)

Conference Information
Committee IE / ITE-ME / ITE-AIT
Conference Date 2017/10/5(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takayuki Hamamoto(Tokyo Univ. of Science) / Miki Haseyama(Hokkaido Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.)
Vice Chair Kazuya Kodama(NII) / Hideaki Kimata(NTT)
Secretary Kazuya Kodama(Nagoya Univ.) / Hideaki Kimata(KDDI Research)
Assistant Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Group on Media Engineering / Technical Group on Artistic Image Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Weight Function of Non-local Means Considering Image Characteristic for Poisson Noise Reduction
Sub Title (in English)
Keyword(1) Poisson noise reduction
Keyword(2) Non-local means
Keyword(3) Weight function
1st Author's Name Kousuke Imamura
1st Author's Affiliation Kanazawa University(Kanazawa Univ.)
2nd Author's Name Naoki Kimura
2nd Author's Affiliation Kanazawa University(Kanazawa Univ.)
3rd Author's Name Yoshio Matsuda
3rd Author's Affiliation Kanazawa University(Kanazawa Univ.)
Date 2017-10-05
Paper # IE2017-57
Volume (vol) vol.117
Number (no) IE-228
Page pp.pp.59-64(IE),
#Pages 6
Date of Issue 2017-09-28 (IE)