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Paper Abstract and Keywords
Presentation 2021-06-03 16:30
A Study on Compression Artifacts Reduction by a Super-Resolution Network
Shion Komatsu, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-4 BioX2021-4 IE2021-4
Abstract (in Japanese) (See Japanese page) 
(in English) Due to the huge amount of information in digital video signals, video compression is used to reduce the amount of information during storage and transmission. In particular, lossy compression can greatly reduce the amount of information. However, irreversible processing cannot completely restore the input images, and compression artifacts, such as block noise and mosquito noise, are generated. The compression process is designed to make the noise visually unnoticeable, but as the compression ratio increases, the coding distortion becomes more noticeable. In this paper, we propose a method to reduce the coding distortion by applying a super-resolution network as a post-filter to videos encoded by existing video compression techniques such as HEVC. The effectiveness and characteristics of the proposed method are discussed through experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Compression Artifacts / Super Resolution / Video Compression / Deep Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 56, IE2021-4, pp. 15-20, June 2021.
Paper # IE2021-4 
Date of Issue 2021-05-27 (SIP, BioX, IE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SIP2021-4 BioX2021-4 IE2021-4

Conference Information
Committee IE SIP BioX ITE-IST ITE-ME  
Conference Date 2021-06-03 - 2021-06-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2021-06-IE-SIP-BioX-IST-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Compression Artifacts Reduction by a Super-Resolution Network 
Sub Title (in English)  
Keyword(1) Compression Artifacts  
Keyword(2) Super Resolution  
Keyword(3) Video Compression  
Keyword(4) Deep Learning  
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1st Author's Name Shion Komatsu  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Joi Shimizu  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Heming Sun  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Jiro Katto  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2021-06-03 16:30:00 
Presentation Time 30 minutes 
Registration for IE 
Paper # SIP2021-4, BioX2021-4, IE2021-4 
Volume (vol) vol.121 
Number (no) no.54(SIP), no.55(BioX), no.56(IE) 
Page pp.15-20 
#Pages 6 
Date of Issue 2021-05-27 (SIP, BioX, IE) 

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