Presentation 2011-03-11
Image Inpainting Based on Energy Minimization Considering Brightness Change, Geometric Transform and Similar Pattern Position
Ryo MIYAMOTO, Norihiko KAWAI, Kazumasa YAMAZAWA, Tomokazu SATO, Naokazu YOKOYA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Image inpainting techniques have been widely developed to remove undesired objects in images such as damaged portions of photographs and people who have accidentally entered pictures. Conventionally, the missing parts of an image are completed by minimizing an energy function which is denned based on pattern similarity SSD. In this report, the conventional energy function is extended by considering brightness changes and geometric transform of textures to increase available samples. Moreover, in minimizing the energy function, the positional relationship between adjacent texture patterns is used to decrease the computational cost and generate natural textures. In experiments, the effectiveness of our proposed method is demonstrated using various images.
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Keyword(in English) image inpainting / image completion / energy minimization / geometric transform
Paper # PRMU2010-276
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Conference Information
Committee PRMU
Conference Date 2011/3/3(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Inpainting Based on Energy Minimization Considering Brightness Change, Geometric Transform and Similar Pattern Position
Sub Title (in English)
Keyword(1) image inpainting
Keyword(2) image completion
Keyword(3) energy minimization
Keyword(4) geometric transform
1st Author's Name Ryo MIYAMOTO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Norihiko KAWAI
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Kazumasa YAMAZAWA
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Tomokazu SATO
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
5th Author's Name Naokazu YOKOYA
5th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2011-03-11
Paper # PRMU2010-276
Volume (vol) vol.110
Number (no) 467
Page pp.pp.-
#Pages 6
Date of Issue