Presentation	2002/6/21 Blind Deconvolution of Images using Gabor Filter Bank and Independent Component Analysis Shinji UMEYAMA,
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Abstract(in English)	Independent Component Analysis is a new data analysis method, and its computation algorithms and applications are widely studied recently. Most applications, however, are for the field of one-dimensional data analysis, e.g. sound data analysis, and few applications for two-dimensional data (e.g., image data) are studied. In this paper we show that the blind deconvolution of a blurred image can be realized by ICA with a relatively small computation cost. In the proposed method, Gabor filter bank is applied to the blurred image, and its output images and the original blurred image are provided as input data of ICA. One of the separated components is a restored image.
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Keyword(in English)	ICA / image restoration / blind deconvolution / Gabor filter
Paper #	PRMU2002-35
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Conference Information
Committee	PRMU
Conference Date	2002/6/21(1days)
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Paper Information
Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Blind Deconvolution of Images using Gabor Filter Bank and Independent Component Analysis
Sub Title (in English)
Keyword(1)	ICA
Keyword(2)	image restoration
Keyword(3)	blind deconvolution
Keyword(4)	Gabor filter
1st Author's Name	Shinji UMEYAMA
1st Author's Affiliation	The National Institute of Advanced Industrial Science and Technology()
Date	2002/6/21
Paper #	PRMU2002-35
Volume (vol)	vol.102
Number (no)	156
Page	pp.pp.-
#Pages	8
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