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Paper Abstract and Keywords
Presentation 2021-03-05 09:30
An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images
Kotaro Yamamura, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-75
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an MSB prediction-based reversible data hiding method using linear regression in encrypted domain. An adjacent pixel is used as a predictor for error detection in MSB prediction in the previous work. Meanwhile, the proposed method introduces linear regression to obtain the predictor, and the number of prediction errors can be decreased. In another respect, the previous work divides the image into fixed-sized blocks and determines the embeddable area with respect to each block. In contrast, our method determines the embeddable area pixel by pixel without block division. Consequently, the total area, where the data can be concealed, is increased. Additionally, the length of the flag is selectable in our method, and thus the hiding capacity can be further improved by choosing the optimal length. Experimental results show the effectiveness of the proposed method in terms of reversibility and hiding capacity.
Keyword (in Japanese) (See Japanese page) 
(in English) Reversible data hiding / image encryption / linear regression / MSB prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 418, EMM2020-75, pp. 46-51, March 2021.
Paper # EMM2020-75 
Date of Issue 2021-02-25 (EMM) 
ISSN 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 EMM  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2021-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images 
Sub Title (in English)  
Keyword(1) Reversible data hiding  
Keyword(2) image encryption  
Keyword(3) linear regression  
Keyword(4) MSB prediction  
1st Author's Name Kotaro Yamamura  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Ryoichi Hirasawa  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Shoko Imaizumi  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Hitoshi Kiya  
4th Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2021-03-05 09:30:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2020-75 
Volume (vol) vol.120 
Number (no) no.418 
Page pp.46-51 
Date of Issue 2021-02-25 (EMM) 

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