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Paper Abstract and Keywords
Presentation 2022-08-25 14:33
Structured Deep Image Prior with Interscale Thresholding
Jikai Li, Shogo Muramatsu (Niigata Univ.) SIP2022-55
Abstract (in Japanese) (See Japanese page) 
(in English) This work proposes a novel image denoising technique inspired by the deep image prior (DIP) method. Our contribution is to increase the interpretability of the network by proposing to use the Stein’s unbiased risk estimator (SURE) to realize self-supervised learning of image restoration. As a result, the number of parameters is decreased while keeping the performance. The conventional DIP accepts random input to generate restored image and has an advantage that no training data is requested. However, there is a problem that the interpretability is low. As a result, the network should prepare redundant design parameters. In this work, we replace the loss function from mean-squared error (MSE) to SURE. This replacement allows us to interpret the reason why a random input is needed. As well, we also introduce the interscale linear expansion of the thresholding (LET) in our network to exploit the extracted features. In order to avoid using group delay compensation, we construct a structured DIP by using hierarchical non-separable oversampled lapped transform (NSOLT) with the symmetric property. By showing some simulation results, the significance of the proposed method is verified.
Keyword (in Japanese) (See Japanese page) 
(in English) Image denoising / Convolutional neural network / Stein’s unbiased risk estimate / Interscale thresholding / Non-separable oversampled lapped transform / Self-supervised learning / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 165, SIP2022-55, pp. 31-36, Aug. 2022.
Paper # SIP2022-55 
Date of Issue 2022-08-18 (SIP) 
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 SIP2022-55

Conference Information
Committee SIP  
Conference Date 2022-08-25 - 2022-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Nobumoto Ohama Memorial Hall (Ishigaki Island) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal processing, etc. 
Paper Information
Registration To SIP 
Conference Code 2022-08-SIP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Structured Deep Image Prior with Interscale Thresholding 
Sub Title (in English)  
Keyword(1) Image denoising  
Keyword(2) Convolutional neural network  
Keyword(3) Stein’s unbiased risk estimate  
Keyword(4) Interscale thresholding  
Keyword(5) Non-separable oversampled lapped transform  
Keyword(6) Self-supervised learning  
Keyword(7)  
Keyword(8)  
1st Author's Name Jikai Li  
1st Author's Affiliation Niigata University (Niigata Univ.)
2nd Author's Name Shogo Muramatsu  
2nd Author's Affiliation Niigata University (Niigata Univ.)
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Speaker Author-1 
Date Time 2022-08-25 14:33:00 
Presentation Time 18 minutes 
Registration for SIP 
Paper # SIP2022-55 
Volume (vol) vol.122 
Number (no) no.165 
Page pp.31-36 
#Pages 6 
Date of Issue 2022-08-18 (SIP) 

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