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Paper Abstract and Keywords
Presentation 2019-02-20 10:00
Real-time noise level detection algorithm for video
Chinatsu Mori, Seiichi Gohshi (Kogakuin Univ.) ITS2018-75 IE2018-96
Abstract (in Japanese) (See Japanese page) 
(in English) 4K resolution is a standard for TV market and recently 8K broadcasting started. Quality of video such as high-resolution, and low noise, is an essential requirement in video systems. Unfortunately, there is a tradeoff between noise and resolution: noise in video increases in proportion to the resolution during the process of photo-electric conversion in an imaging device. A noise reducer (NR) is a signal processing method to reduce noise. However, accurate noise level is needed for NR to work effectively. The noise level is deeply related to lighting conditions, and adjusting NR parameters including the noise level in real-time is required. Although frame difference is used to detect noise level, the frame difference consists of moving objects and noise. It is necessary to detect the frame difference caused only by noise. Moreover, complex algorithm cannot be applied to real-time video systems. In this paper, two noise level detection algorithms are proposed. We concluded the combination of the two methods can detect variety of noise level accurately in real-time conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) Video noise reducer / 4K / 8K / Real-time / Non-linear signal processing / Image quality / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 450, IE2018-96, pp. 153-158, Feb. 2019.
Paper # IE2018-96 
Date of Issue 2019-02-12 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685    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 ITS2018-75 IE2018-96

Conference Information
Committee ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT  
Conference Date 2019-02-19 - 2019-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2019-02-ITS-IE-MMS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Real-time noise level detection algorithm for video 
Sub Title (in English)  
Keyword(1) Video noise reducer  
Keyword(2) 4K  
Keyword(3) 8K  
Keyword(4) Real-time  
Keyword(5) Non-linear signal processing  
Keyword(6) Image quality  
Keyword(7)  
Keyword(8)  
1st Author's Name Chinatsu Mori  
1st Author's Affiliation Kogakuin University (Kogakuin Univ.)
2nd Author's Name Seiichi Gohshi  
2nd Author's Affiliation Kogakuin University (Kogakuin Univ.)
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Speaker Author-1 
Date Time 2019-02-20 10:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2018-75, IE2018-96 
Volume (vol) vol.118 
Number (no) no.449(ITS), no.450(IE) 
Page pp.153-158 
#Pages 6 
Date of Issue 2019-02-12 (ITS, IE) 

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