Presentation 2008-10-06
Reconstructing a super-resolution image for depth-varying scenes
Ami Yokoyama, Akira Kubota, Yoshinori Hatori,
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Abstract(in English) This paper proposes a novel method for reconstructing a super-resolution image for depth varying scene without requiring complex analysis such as depth estimation and feature matching. The proposed method is based on the iterative back projection technique that is extended to the 3D volume domain (i.e., spatial+depth), unlike the conventional super-resolution methods that handle only 2D translation among captured images. In the simulation, using 5 or 11 test images (160×120) for computer generated scene, we generated the center image of two-times higher resolution (320×240). The results showed that quality of the generated images was improved compared with the up-sampled versions of the center image generated under the assumption that a single depth is considered.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Free-viewpoint image / Improving resolution / image registration
Paper # SIP2008-108,IE2008-72
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Committee IE
Conference Date 2008/9/29(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reconstructing a super-resolution image for depth-varying scenes
Sub Title (in English)
Keyword(1) Free-viewpoint image
Keyword(2) Improving resolution
Keyword(3) image registration
1st Author's Name Ami Yokoyama
1st Author's Affiliation Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology()
2nd Author's Name Akira Kubota
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology
3rd Author's Name Yoshinori Hatori
3rd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology
Date 2008-10-06
Paper # SIP2008-108,IE2008-72
Volume (vol) vol.108
Number (no) 229
Page pp.pp.-
#Pages 4
Date of Issue