Presentation	2003/6/20 Image enlargement method using fuzzy technique Naoyuki AIKAWA,
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Abstract(in English)	In this paper, we propose a new kernel where the top information on the heap and the valley type reproduced by computing the value of interpolating point from values of adjacent two points in original image. In this method, four parameters of the proposed kernel are changed by fuzzy reasoning by using difference information on adjoining original data. The proposed kernel with the linear phase characteristics contains a linear interpolation and a nearest-neighbor interpolation. Moreover the proposed kernel can achieve a better visual quality than cubic interpolation, yet requires fewer computation cost. Finally, the usefulness of the proposed kernel is verified through some examples.
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Keyword(in English)	Reconstruction kernel / Linear phase characteristics / Interpolation / Sampling rate converter / Fuzzy reasoning
Paper #	DSP2003-62
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Conference Information
Committee	DSP
Conference Date	2003/6/20(1days)
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Paper Information
Registration To	Digital Signal Processing (DSP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Image enlargement method using fuzzy technique
Sub Title (in English)
Keyword(1)	Reconstruction kernel
Keyword(2)	Linear phase characteristics
Keyword(3)	Interpolation
Keyword(4)	Sampling rate converter
Keyword(5)	Fuzzy reasoning
1st Author's Name	Naoyuki AIKAWA
1st Author's Affiliation	College of Engineering, Nihon University()
Date	2003/6/20
Paper #	DSP2003-62
Volume (vol)	vol.103
Number (no)	147
Page	pp.pp.-
#Pages	6
Date of Issue