Presentation	2002/12/10 Consideration for Image Restoration by Self-Organizing Maps Michiharu MAEDA,
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Abstract(in English)	In this study, an algorithm of self-organizing maps for image restoration is presented. Self-organizing maps have been hitherto studied for the ordering process and the convergence phase of weight vectors. As another approach of self-organizing maps, a novel algorithm of image restoration is proposed. The present, algorithm creates a map containing one unit for each pixel. Utilizing pixel values as input, the image inference is carried out by self-organizing maps. Then, an updating function with a threshold according to the difference between the input value and the inferred pixel is introduced, so as not to respond to a noisy input sensitively. Therefore, the inference of original image proceeds appropriately since any pixel is influenced by surrounding pixels corresponding to the neighboring setting. In the restoration process, the effect of the initial threshold and the initial neighborhood on accuracy is examined. Experimental results are presented in order to show that the present method is effective in quality.
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Keyword(in English)	self-organizing maps / image restoration / learning / peak signal to noise ratio
Paper #	IE2002-130
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Conference Information
Committee	IE
Conference Date	2002/12/10(1days)
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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)	Consideration for Image Restoration by Self-Organizing Maps
Sub Title (in English)
Keyword(1)	self-organizing maps
Keyword(2)	image restoration
Keyword(3)	learning
Keyword(4)	peak signal to noise ratio
1st Author's Name	Michiharu MAEDA
1st Author's Affiliation	Kurume National College of Technology()
Date	2002/12/10
Paper #	IE2002-130
Volume (vol)	vol.102
Number (no)	519
Page	pp.pp.-
#Pages	5
Date of Issue