Paper Abstract and Keywords |
Presentation |
2017-11-06 16:00
Digital watermarking method by encoder using neural network Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ) EMM2017-58 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose a digital watermarking method by encoder using a neural network.The learned neural network can perform as both an encoder from an original image and a watermark to a stego-image, and a decoder from the stego-image to the watermark. The coefficients of discrete cosine transform (DCT) of the original image and watermarks are fed into the encoder, and then the neural network is trained so as to output the coefficients of the original one.The output of the encoder is fed into the decoder, and then it is trained so as to output watermarks. By using trained neural network, less degraded stego-images, from which watermarks could be extracted, could be generated. In the proposed method, since robustness against attacks depends on parameters of the neural network, we have to settle the parameters. The parameters were fixed by results of both the image quality of the stego-image and bit error rate (BER) after JPEG compression. As a result, under the suitable parameters, when the stego-image is compressed with over $70$ of $Q$-value, the watermarks can be extracted with less than $0.01$ of average BER. Moreover, the image quality PSNR can be achieved at least $35~{rm dB}$. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
digital watermark / neural network / JPEG compression / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 282, EMM2017-58, pp. 17-22, Nov. 2017. |
Paper # |
EMM2017-58 |
Date of Issue |
2017-10-30 (EMM) |
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) |
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EMM2017-58 |
Conference Information |
Committee |
EMM |
Conference Date |
2017-11-06 - 2017-11-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kagoshima Univ. (Inamori Academy) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Multimedia Fusion, Content Processing, Multimedia Retrieval, Digital Watermarking, and Related Topics |
Paper Information |
Registration To |
EMM |
Conference Code |
2017-11-EMM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Digital watermarking method by encoder using neural network |
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digital watermark |
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neural network |
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JPEG compression |
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1st Author's Name |
Ippei Hamamoto |
1st Author's Affiliation |
Yamaguchi University (Yamaguchi Univ) |
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Masaki Kawamura |
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Yamaguchi University (Yamaguchi Univ) |
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Speaker |
Author-1 |
Date Time |
2017-11-06 16:00:00 |
Presentation Time |
25 minutes |
Registration for |
EMM |
Paper # |
EMM2017-58 |
Volume (vol) |
vol.117 |
Number (no) |
no.282 |
Page |
pp.17-22 |
#Pages |
6 |
Date of Issue |
2017-10-30 (EMM) |
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