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Paper Abstract and Keywords
Presentation 2014-02-17 09:35
High Density Impulse Noise Removal on the Image Sequence uses Dual Recursive Hybrid Filter
Fitri Utaminingrum, Keiichi Uchimura, Gou Koutaki (Kumamoto Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The proposed method introduces impulse noise removal on the image sequences using Dual Recursive Hybrid Filter. The hybrid filter is combined from the Rank Ordered Mean (ROM) filter and Mean-of-Gradient Filter (MGF). The ROM is applied in condition of image sequence at the smallest noise density. Meanwhile, the MGF is applied for 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 qualitative and quantitative parameter of the proposed method provides a good performance filter in many variation densities.
Keyword (in Japanese) (See Japanese page) 
(in English) impulse noise removal / image sequence / hybrid filter / / / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2014-02-17 - 2014-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processing, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2014-02-ITS-IE-AIT-HI-ME 
Language English 
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 Filter 
Sub Title (in English)  
Keyword(1) impulse noise removal  
Keyword(2) image sequence  
Keyword(3) hybrid filter  
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1st Author's Name Fitri Utaminingrum  
1st Author's Affiliation Kumamoto University (Kumamoto Univ.)
2nd Author's Name Keiichi Uchimura  
2nd Author's Affiliation Kumamoto University (Kumamoto Univ.)
3rd Author's Name Gou Koutaki  
3rd Author's Affiliation Kumamoto University (Kumamoto Univ.)
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Speaker Author-1 
Date Time 2014-02-17 09:35:00 
Presentation Time 15 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.38 
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