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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2010/5/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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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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