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Paper Abstract and Keywords
Presentation 2017-02-21 14:45
Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) ITS2016-58 IE2016-116
Abstract (in Japanese) (See Japanese page) 
(in English) Since hyperspectral image (HSI) contains rich spectral information, it has been recognized as a key technology in many fields. Meanwhile, various noises are inevitable when we capture an HSI, so that some noise removal methods are required. This paper propose a new method of removing mixed noise in an HSI. Specifically, our method considers not only Gaussian noise but also textit{Sparse noise} (e.g., impulse noise and line noise), and it utilizes Hybrid Spatio-Spectral Total Variation (HSSTV), which is an effective regularization technique for HSIs based on their spatial and spectral smoothness. The mixed noise removal problem is formulated as a constrained convex optimization problem that takes the characteristics of both noise into account, and then it is efficiently solved by the so-called alternating direction method of multipliers (ADMM). Experiments on denoising of a mixed noise demonstrate the advantage of HSSTV over state-of-the-art methods.
Keyword (in Japanese) (See Japanese page) 
(in English) hyperspectral image / denoising / mixed noise / ADMM / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 464, IE2016-116, pp. 281-285, Feb. 2017.
Paper # IE2016-116 
Date of Issue 2017-02-13 (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 ITS2016-58 IE2016-116

Conference Information
Committee IE ITS ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE  
Conference Date 2017-02-20 - 2017-02-21 
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 2017-02-IE-ITS-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization 
Sub Title (in English)  
Keyword(1) hyperspectral image  
Keyword(2) denoising  
Keyword(3) mixed noise  
Keyword(4) ADMM  
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1st Author's Name Saori Takeyama  
1st Author's Affiliation Tokyo Institute of Univercity (Tokyo Tech.)
2nd Author's Name Shunsuke Ono  
2nd Author's Affiliation Tokyo Institute of Univercity (Tokyo Tech.)
3rd Author's Name Itsuo Kumazawa  
3rd Author's Affiliation Tokyo Institute of Univercity (Tokyo Tech.)
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Speaker Author-1 
Date Time 2017-02-21 14:45:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2016-58, IE2016-116 
Volume (vol) vol.116 
Number (no) no.463(ITS), no.464(IE) 
Page pp.281-285 
#Pages 5 
Date of Issue 2017-02-13 (ITS, IE) 

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