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| 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 |
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| 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 | |
| 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 | EMM2020-75 |
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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 |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 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 |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (EMM) |
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