Presentation 2011-05-12
Image Inpainting Based on Rank Minimization
Tomohiro TAKAHASHI, Katsumi KONISHI, Toshihiro FURUKAWA,
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Abstract(in English) This paper proposes a rank minimization based approach to a novel image painting. We utilize the 2-D autoregressive (AR) model to model the image data, and formulate the image inpainting problem as the system identification problem of finding the minimum order system. This problem is described as the rank minimization problem, which is NP hard in general. To solve the problem approximately, this paper proposes a fast algorithm based on the iterative reweighted least square (IRLS). Numerical examples show that the proposed algorithm recovers missing pixels well.
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Keyword(in English) Image Inpainting / Rank Minimization / l_2 norm Minimization / least squares method
Paper # EA2011-12,SIP2011-12,SP2011-12
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Committee EA
Conference Date 2011/5/5(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Image Inpainting Based on Rank Minimization
Sub Title (in English)
Keyword(1) Image Inpainting
Keyword(2) Rank Minimization
Keyword(3) l_2 norm Minimization
Keyword(4) least squares method
1st Author's Name Tomohiro TAKAHASHI
1st Author's Affiliation Tokyo University of Science()
2nd Author's Name Katsumi KONISHI
2nd Author's Affiliation Kogakuin University
3rd Author's Name Toshihiro FURUKAWA
3rd Author's Affiliation Tokyo University of Science
Date 2011-05-12
Paper # EA2011-12,SIP2011-12,SP2011-12
Volume (vol) vol.111
Number (no) 26
Page pp.pp.-
#Pages 6
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