Presentation | 2011-05-12 Image Inpainting Based on Rank Minimization Tomohiro TAKAHASHI, Katsumi KONISHI, Toshihiro FURUKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2011/5/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Engineering Acoustics (EA) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
Date of Issue |