Presentation 2010-05-14
Two-Dimensional Block Kalman Filter with Colored Driving Source for Image Restoration
Ryu NAGAYASU, Nari TANABE, Toshihiro FURUKAWA,
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Abstract(in English) This paper proposes a robust image restoration method using two-dimensional block Kalman filter with colored driving source. This 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 original image despite simple image restoration using only Kalman filter. We show the effectiveness of the proposed method, using numerical results and subjective evaluation results.
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Keyword(in English) Image restoration / blur / noise / two-dimensional block Kalman filter / auto regressive / colored driving source
Paper # IE2010-47,PRMU2010-35,MI2010-35
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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) Two-Dimensional Block Kalman Filter with Colored Driving Source for Image Restoration
Sub Title (in English)
Keyword(1) Image restoration
Keyword(2) blur
Keyword(3) noise
Keyword(4) two-dimensional block Kalman filter
Keyword(5) auto regressive
Keyword(6) colored driving source
1st Author's Name Ryu NAGAYASU
1st Author's Affiliation Tokyo University of Science, Suwa()
2nd Author's Name Nari TANABE
2nd Author's Affiliation Tokyo University of Science, Suwa
3rd Author's Name Toshihiro FURUKAWA
3rd Author's Affiliation Tokyo University of Science
Date 2010-05-14
Paper # IE2010-47,PRMU2010-35,MI2010-35
Volume (vol) vol.110
Number (no) 28
Page pp.pp.-
#Pages 6
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