Presentation 2001/12/6
An Impulse Noise Removal Filter based on Gaussian Mixture Distribution Model for Image
Hiroki OGO, Nobumoto YAMANE, Yoshitaka MORIKAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, an impulse noise removal method for images is proposed. This method is a switching filter using adaptive Wiener filter based on the Gaussian mixture distribution model in the interpolation process. The adaptive restoration filter is designed as the Wiener filter that minimize mean square error for the Gaussian stationary processes adopted to the local image signals. A simulation result shows that proposed method improves S/N ratio from 1.5 to 2.5 dB compared with conventional switching filter using median filter in its restoration process.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) image restoration / impulse noise removal / Gaussian mixture distribution model / Wiener filter / switching filter
Paper # CS2001-110,IE2001-137
Date of Issue

Conference Information
Committee IE
Conference Date 2001/12/6(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 Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Impulse Noise Removal Filter based on Gaussian Mixture Distribution Model for Image
Sub Title (in English)
Keyword(1) image restoration
Keyword(2) impulse noise removal
Keyword(3) Gaussian mixture distribution model
Keyword(4) Wiener filter
Keyword(5) switching filter
1st Author's Name Hiroki OGO
1st Author's Affiliation Faculty of Engineering, Okayama University()
2nd Author's Name Nobumoto YAMANE
2nd Author's Affiliation Faculty of Engineering, Okayama University
3rd Author's Name Yoshitaka MORIKAWA
3rd Author's Affiliation Faculty of Engineering, Okayama University
Date 2001/12/6
Paper # CS2001-110,IE2001-137
Volume (vol) vol.101
Number (no) 496
Page pp.pp.-
#Pages 6
Date of Issue