Presentation 2010-05-14
Image Registration Using both Principal Component Analysis and Gradient Method for Super-resolution
So Sasatani, Xian-Hua Han, Yen-Wei Chen,
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Abstract(in English) Super-Resolution is the technique enhances resolution of image, and one of its techniques is multi-frame method is an approach to reconstruct a high-resolution(HR)image from some of low-resolution images. There are many image registration techniques used in this method, but they have some fault each other and it is possible to improve the HR image quality by resolving it. In this paper, we proposed image registration technique using usual methods and show an experimental result.
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Keyword(in English) Super-Resolution / Image Registration / Principal Component Analysis / Gradient Method
Paper # IE2010-48,PRMU2010-36,MI2010-36
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Committee MI
Conference Date 2010/5/6(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Registration Using both Principal Component Analysis and Gradient Method for Super-resolution
Sub Title (in English)
Keyword(1) Super-Resolution
Keyword(2) Image Registration
Keyword(3) Principal Component Analysis
Keyword(4) Gradient Method
1st Author's Name So Sasatani
1st Author's Affiliation Department of Science and Engineering, Ritsumeikan University()
2nd Author's Name Xian-Hua Han
2nd Author's Affiliation Department of Science and Engineering, Ritsumeikan University
3rd Author's Name Yen-Wei Chen
3rd Author's Affiliation Department of Science and Engineering, Ritsumeikan University
Date 2010-05-14
Paper # IE2010-48,PRMU2010-36,MI2010-36
Volume (vol) vol.110
Number (no) 28
Page pp.pp.-
#Pages 6
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