Presentation 2010-11-18
Super resolution technique for video data containing motion blur
Takuma YAMAGUCHI, Hisato FUKUDA, Ryo FURUKAWA, Hiroshi KAWASAKI, yoshinori KUNO, Peter STURM,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Since resolution of video camera is usually lower than digital camera and video data usually contains a motion blur in the sequence, simple frame capture can produce only low quality image. In this paper, we propose a method to restore a sharp and high-resolution image from a video sequence by motion deblur for each frame followed by super-resolution technique. By using goemetric information, we first apply motion deblur for each frame, and then, super-resolve the images from the deblurred image set.
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Keyword(in English) Super-Resolution / Motion Blur / Deforcus Blur / 3D Object
Paper # PRMU2010-117
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Committee PRMU
Conference Date 2010/11/11(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) Super resolution technique for video data containing motion blur
Sub Title (in English)
Keyword(1) Super-Resolution
Keyword(2) Motion Blur
Keyword(3) Deforcus Blur
Keyword(4) 3D Object
1st Author's Name Takuma YAMAGUCHI
1st Author's Affiliation Research & Development Center, The Nippon Signal Co., LTD()
2nd Author's Name Hisato FUKUDA
2nd Author's Affiliation Faculty of Engineering, Saitama University
3rd Author's Name Ryo FURUKAWA
3rd Author's Affiliation Faculty of Information Sciences, Hiroshima City University
4th Author's Name Hiroshi KAWASAKI
4th Author's Affiliation Faculty of Engineering, Kagoshima University
5th Author's Name yoshinori KUNO
5th Author's Affiliation Faculty of Engineering, Saitama University
6th Author's Name Peter STURM
6th Author's Affiliation INRIA Grenoble-Rhone-Alpes
Date 2010-11-18
Paper # PRMU2010-117
Volume (vol) vol.110
Number (no) 296
Page pp.pp.-
#Pages 6
Date of Issue