Presentation 2014-02-17
High Density Impulse Noise Removal on the Image Sequence uses Dual Recursive Hybrid Filters
Fitri UTAMININGRUM, Keiichi UCHIMURA, Gou KOUTAKI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The proposed method introduces impulse noise removal on the image sequences using Dual Recursive Hybrid Filters. The Hybrid filter is a combination of the Rank-Ordered Mean (ROM) filter and Mean-of-Gradient Filter (MGF). The ROM is applied in condition of image sequence at the low noise density, while MGF is used in the high impulse noise density. An effective method for maintaining an important pixel data from the image sequence has been obtained in the Dual Recursive Hybrid Filter. The capability of the proposed method has been tested in the different impulse noise densities. The qualitative and quantitative parameters of the proposed method provide a significant increase in the performance of the filter in many variation densities.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) impulse noise removal / image sequence / hybrid filter
Paper # ITS2013-31,IE2013-96
Date of Issue

Conference Information
Committee IE
Conference Date 2014/2/10(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 ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) High Density Impulse Noise Removal on the Image Sequence uses Dual Recursive Hybrid Filters
Sub Title (in English)
Keyword(1) impulse noise removal
Keyword(2) image sequence
Keyword(3) hybrid filter
1st Author's Name Fitri UTAMININGRUM
1st Author's Affiliation Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University:Brawijaya University()
2nd Author's Name Keiichi UCHIMURA
2nd Author's Affiliation Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University
3rd Author's Name Gou KOUTAKI
3rd Author's Affiliation Priority Organization for Innovation and Excellence, Kumamoto University
Date 2014-02-17
Paper # ITS2013-31,IE2013-96
Volume (vol) vol.113
Number (no) 434
Page pp.pp.-
#Pages 6
Date of Issue