Presentation 2005-04-22
Restoration of Blurred Moving Image for Abstracting A Moving Object
Kei AKIYAMA, Zhi-wei LUO, Masaki ONISHI, Shigeyuki HOSOE,
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Abstract(in English) Iterative optimal calculation methods have been proposed for blurred static image restoration based on the wavelet transformation. However, it is quite difficult to apply these methods to process moving images due to the high computation cost. In this paper, we propose an effective restoration method for blurred moving images by modeling the motion of a moving object and predicting the future object position. We verified our method by computer simulations to show that our method can dramatically reduce the computation time.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) moving image restoration / extracting moving object / wavelet transformation
Paper # SIP2005-5,IE2005-5
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Conference Information
Committee IE
Conference Date 2005/4/15(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Restoration of Blurred Moving Image for Abstracting A Moving Object
Sub Title (in English)
Keyword(1) moving image restoration
Keyword(2) extracting moving object
Keyword(3) wavelet transformation
1st Author's Name Kei AKIYAMA
1st Author's Affiliation Graduate School of Engineering, Nagoya University:RIKEN BMC()
2nd Author's Name Zhi-wei LUO
2nd Author's Affiliation RIKEN BMC
3rd Author's Name Masaki ONISHI
3rd Author's Affiliation RIKEN BMC
4th Author's Name Shigeyuki HOSOE
4th Author's Affiliation Graduate School of Engineering, Nagoya University:RIKEN BMC
Date 2005-04-22
Paper # SIP2005-5,IE2005-5
Volume (vol) vol.105
Number (no) 30
Page pp.pp.-
#Pages 6
Date of Issue