Presentation 2010-05-14
Kalman Filter Based Robust Restoration Method with Colored Driving Source
Nari TANABE, Ryu NAGAYASU, Naoto HOSODA, Toshihiro FURUKAWA,
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Abstract(in English) This paper proposes a Kalman filter based robust restoration method with colored driving source for degraded images. The method aims to achieve high quality image restoration for blur and noise disturbance from the canonical state space models with (i) a state equation composed of the original image, and (ii) an observation equation composed of the original image, blur, and noise. The remarkable feature of the proposed method is realization of high performance image restoration without sacrificing an original image despite simple image restoration using only Kalman filter. We show the effectiveness of the propose method, which utilized the Kalman filter theory for the proposed canonical state space models with the colored driving source, using numerical results and subjective evaluation results.
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Keyword(in English) Blur / noise / image restoration / Kalman filter / canonical state space models / colored driving source
Paper # IE2010-46,PRMU2010-34,MI2010-34
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Committee MI
Conference Date 2010/5/6(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Kalman Filter Based Robust Restoration Method with Colored Driving Source
Sub Title (in English)
Keyword(1) Blur
Keyword(2) noise
Keyword(3) image restoration
Keyword(4) Kalman filter
Keyword(5) canonical state space models
Keyword(6) colored driving source
1st Author's Name Nari TANABE
1st Author's Affiliation Tokyo University of Science, Suwa()
2nd Author's Name Ryu NAGAYASU
2nd Author's Affiliation Tokyo University of Science, Suwa
3rd Author's Name Naoto HOSODA
3rd Author's Affiliation Tokyo University of Science, Suwa
4th Author's Name Toshihiro FURUKAWA
4th Author's Affiliation Tokyo University of Science
Date 2010-05-14
Paper # IE2010-46,PRMU2010-34,MI2010-34
Volume (vol) vol.110
Number (no) 28
Page pp.pp.-
#Pages 6
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