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Paper Abstract and Keywords
Presentation 2020-07-16 14:20
A Study on Trainable ISTA using Auto Encoder as Shrinkage Function for Image Recovery
Kento Yokoyama, Satoshi Takabe, Tadashi Wadayama (NIT) IT2020-13
Abstract (in Japanese) (See Japanese page) 
(in English) ISTA (Iterative Shrinkage-Thresholding Algorithm) is one of the basic algorithms used in compressed sensing to estimate sparse signals from observed signals.
Recently, techniques such as Trainable ISTA that combine deep learning with compressed sensing algorithms have achieved high signal recovery performance.
In this paper, we propose the DAE-ISTA that uses a DAE (Denoising AutoEncoder) with pre-trained image features as the shrinkage function of ISTA for image recovery.
Numerical simulations based on real data have revealed that DAE-ISTA improves the image recovery performance compared with an existing method.
Keyword (in Japanese) (See Japanese page) 
(in English) DAE / ISTA / compressed sensing / deep learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 105, IT2020-13, pp. 13-18, July 2020.
Paper # IT2020-13 
Date of Issue 2020-07-09 (IT) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
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Conference Information
Committee IT  
Conference Date 2020-07-16 - 2020-07-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Freshman session, General 
Paper Information
Registration To IT 
Conference Code 2020-07-IT 
Language Japanese without English title) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Trainable ISTA using Auto Encoder as Shrinkage Function for Image Recovery 
Sub Title (in English)  
Keyword(1) DAE  
Keyword(2) ISTA  
Keyword(3) compressed sensing  
Keyword(4) deep learning  
1st Author's Name Kento Yokoyama  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Satoshi Takabe  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Tadashi Wadayama  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2020-07-16 14:20:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2020-13 
Volume (vol) vol.120 
Number (no) no.105 
Page pp.13-18 
Date of Issue 2020-07-09 (IT) 

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