Presentation 2008-09-05
Image inpainting method based on morphological erosion and structure feature replication
Hao Guo, Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama,
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Abstract(in English) The paper presents a new inpainting algorithm applicable for large damaged region including textures and structures based on morphological erosion and structure feature replication. The method can retain the continuity of image isophotes by propagating both texture and structure characteristics information from the known patch into the damaged region, and output a natural-looking and non-blurred image. Through comparative experiments with some existing methods, we demonstrate the effectiveness of the algorithm in removing large objects as well as thin scratches.
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Keyword(in English) image restoration / image inpainting / morphological processing / texture
Paper # PRMU2008-59,HIP2008-59
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Conference Information
Committee PRMU
Conference Date 2008/8/29(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image inpainting method based on morphological erosion and structure feature replication
Sub Title (in English)
Keyword(1) image restoration
Keyword(2) image inpainting
Keyword(3) morphological processing
Keyword(4) texture
1st Author's Name Hao Guo
1st Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo:School of Computer Science and Technology, Dalian Maritime University()
2nd Author's Name Takuya Nishimoto
2nd Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
3rd Author's Name Nobutaka Ono
3rd Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
4th Author's Name Shigeki Sagayama
4th Author's Affiliation Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
Date 2008-09-05
Paper # PRMU2008-59,HIP2008-59
Volume (vol) vol.108
Number (no) 198
Page pp.pp.-
#Pages 6
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