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Paper Abstract and Keywords
Presentation 2019-12-06 14:15
Image Restoration using a Codec
Yoko Sogabe, Shiori Sugimoto, Takayuki Kurozumi, Hideaki Kimata (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) Image restoration, which is an inverse problem such as compressed
sensing and super-resolution, requires priors (e.g. Total Variation
minimization) for regularization.
In this paper, we propose a new image restoration method using a lossy
image codec.
With a prior which is implicitly defined by an off-the-shelf image
codec (e.g HEIF), the proposed method can recover targets efficiently.
In our experiment, the proposed method outperformed hand-crafted prior-based methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Restration / Compressed Sensing / Image Prior / Image Compression / / / /  
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Conference Information
Committee IEICE-IE IEICE-CS IPSJ-AVM BCT  
Conference Date 2019-12-05 - 2019-12-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Aiina Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image coding, Communications and streaming technologies, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2019-12-IE-CS-AVM-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Restoration using a Codec 
Sub Title (in English)  
Keyword(1) Image Restration  
Keyword(2) Compressed Sensing  
Keyword(3) Image Prior  
Keyword(4) Image Compression  
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1st Author's Name Yoko Sogabe  
1st Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation (NTT)
2nd Author's Name Shiori Sugimoto  
2nd Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation (NTT)
3rd Author's Name Takayuki Kurozumi  
3rd Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation (NTT)
4th Author's Name Hideaki Kimata  
4th Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation (NTT)
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Speaker Author-1 
Date Time 2019-12-06 14:15:00 
Presentation Time 25 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.43 
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