Presentation 2004/9/9
A Technique for Mixed Noise Reduction Based on Support Vector Machine
Jyun'ichi MATSUSHITA, Atsusi FUJIKI, Takehiro IMAI, Mitsuji MUNEYASU, Nobuyuki TOYA, Shigeru IMANISHI, Yasuo NOMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a noise reduction method for images based on support vector machine (SVM). This method classifies pixels by the local features of them and processes them by a suitable processing according to their features. In the proposed method, white Gaussian noise reduction with edge preserving is especially considered. The mixed noise reduction based on the combination of the proposed method and the impulse noise reduction filter by using SVM is also described. Simulation results show the effectiveness of the proposed method for the reduction of white Gaussian noise and mixed noise with edge preserving.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) SVM / white Gaussian noise / edge preserving / pattern classification / mixed noise
Paper # EA2004-47,SIP2004-51,SIS2004-18
Date of Issue

Conference Information
Committee SIP
Conference Date 2004/9/9(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Technique for Mixed Noise Reduction Based on Support Vector Machine
Sub Title (in English)
Keyword(1) SVM
Keyword(2) white Gaussian noise
Keyword(3) edge preserving
Keyword(4) pattern classification
Keyword(5) mixed noise
1st Author's Name Jyun'ichi MATSUSHITA
1st Author's Affiliation Faculty of Engineering, Kansai University()
2nd Author's Name Atsusi FUJIKI
2nd Author's Affiliation Faculty of Engineering, Kansai University
3rd Author's Name Takehiro IMAI
3rd Author's Affiliation Faculty of Engineering, Kansai University
4th Author's Name Mitsuji MUNEYASU
4th Author's Affiliation Faculty of Engineering, Kansai University
5th Author's Name Nobuyuki TOYA
5th Author's Affiliation Faculty of Engineering, Kansai University
6th Author's Name Shigeru IMANISHI
6th Author's Affiliation Faculty of Engineering, Kansai University
7th Author's Name Yasuo NOMURA
7th Author's Affiliation Faculty of Engineering, Kansai University
Date 2004/9/9
Paper # EA2004-47,SIP2004-51,SIS2004-18
Volume (vol) vol.104
Number (no) 305
Page pp.pp.-
#Pages 6
Date of Issue