Presentation 2008-01-17
A Study on High-Resolution Image Reconstruction and Dpeth Estimation Using Super-Reolution Method
Yoshiya KOWASHI, Shin'ichi TAKAGI, Hideyoshi TOMINAGA,
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Abstract(in English) This study presents a super-resolution technique to simultaneously estimate the depth and the high-resolution image. Super-resolution method reconstructs a high-resolution image from several observed low-resolution images, which have different displacement with sub-pixel accuracy. When the target surface is a plane, displacement is the same for each pixel in a whole image. Contrary to this, when the target surface is not a plane, displacement is different for each pixel because the depth is different. Hence, we propose an observation model constructed by depth, displacement of whole image, and high-resolution image. Then, we describe a methodology to estimate each element from given images using MAP framework. Finally, validity of the proposed method is shown by some experiments.
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Keyword(in English) super-resolution / image reconstruction / resolution enhancement / depth estimation
Paper # PRMU2007-166
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Conference Information
Committee PRMU
Conference Date 2008/1/10(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) A Study on High-Resolution Image Reconstruction and Dpeth Estimation Using Super-Reolution Method
Sub Title (in English)
Keyword(1) super-resolution
Keyword(2) image reconstruction
Keyword(3) resolution enhancement
Keyword(4) depth estimation
1st Author's Name Yoshiya KOWASHI
1st Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University()
2nd Author's Name Shin'ichi TAKAGI
2nd Author's Affiliation Global Information and Telecommunication Institute, Waseda University
3rd Author's Name Hideyoshi TOMINAGA
3rd Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University : Global Information and Telecommunication Institute, Waseda University
Date 2008-01-17
Paper # PRMU2007-166
Volume (vol) vol.107
Number (no) 427
Page pp.pp.-
#Pages 6
Date of Issue