Presentation | 2004/1/26 A Study on Restoration of Missing Areas Application of GMRF Model Takahiro OGAWA, Miki HASEYAMA, Hideo KITAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Several methods for restoration of missing areas in still images have been studied. However, their performances are not enough because they cannot accurately reconstruct missing edges. Therefore, this paper proposes an accurate restoration method by using a new GMRF model. Since the new GMRF model can be obtained by an assumption that one image consists of some weakly stationary processes, it can express images including edges more accurately than the traditional GMRF models; and thus, by using this model, the proposed method accurately estimates the missing intensities especially in the edges. Some experimental results are shown to verify its high performance of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | GMRF Model / Edges / Weakly Stationary Process |
Paper # | ITS2003-52,IE2003-187 |
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Committee | ITS |
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Conference Date | 2004/1/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Restoration of Missing Areas Application of GMRF Model |
Sub Title (in English) | |
Keyword(1) | GMRF Model |
Keyword(2) | Edges |
Keyword(3) | Weakly Stationary Process |
1st Author's Name | Takahiro OGAWA |
1st Author's Affiliation | School of Engineering, Hokkaido University() |
2nd Author's Name | Miki HASEYAMA |
2nd Author's Affiliation | School of Engineering, Hokkaido University |
3rd Author's Name | Hideo KITAJIMA |
3rd Author's Affiliation | School of Engineering, Hokkaido University |
Date | 2004/1/26 |
Paper # | ITS2003-52,IE2003-187 |
Volume (vol) | vol.103 |
Number (no) | 639 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |