article

A blind watermarking method using maximum wavelet coefficient quantization

Authors:

Shi-Jinn Horng,

Tzong-Wann Kao,

Yi PanAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 36, Issue 9

Pages 11509 - 11516

https://doi.org/10.1016/j.eswa.2009.03.060

Published: 01 November 2009 Publication History

Abstract

This paper proposes a blind watermarking algorithm based on maximum wavelet coefficient quantization for copyright protection. The wavelet coefficients are grouped into different block size and blocks are randomly selected from different subbands. We add different energies to the maximum wavelet coefficient under the constraint that the maximum wavelet coefficient is always maximum in a block. The watermark is embedded the local maximum coefficient which can effectively resist attacks. Also, using the block-based watermarking, we can extract the watermark without using the original image or watermark. Experimental results show that the proposed method is quite robust under either non-geometry or geometry attacks.

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Cited By

Bartani AAkhlaghian Tab FAbdollahpouri ARamezani M(2024)Robust deep image-watermarking method by a modified Siamese networkNeural Computing and Applications10.1007/s00521-024-09496-236:14(7743-7762)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00521-024-09496-2
Wang BWu Y(2022)Staged Adaptive Blind Watermarking SchemeComputer Vision – ACCV 202210.1007/978-3-031-26351-4_22(357-372)Online publication date: 4-Dec-2022
https://dl.acm.org/doi/10.1007/978-3-031-26351-4_22
(2018)A robust and blind image watermarking scheme in DCT domainInternational Journal of Information and Computer Security10.5555/3292793.329279410:4(321-340)Online publication date: 1-Jan-2018
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cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 36, Issue 9

November, 2009

593 pages

ISSN:0957-4174

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Copyright © Elsevier Ltd © 2009.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 November 2009

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Cited By

Bartani AAkhlaghian Tab FAbdollahpouri ARamezani M(2024)Robust deep image-watermarking method by a modified Siamese networkNeural Computing and Applications10.1007/s00521-024-09496-236:14(7743-7762)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s00521-024-09496-2
Wang BWu Y(2022)Staged Adaptive Blind Watermarking SchemeComputer Vision – ACCV 202210.1007/978-3-031-26351-4_22(357-372)Online publication date: 4-Dec-2022
https://dl.acm.org/doi/10.1007/978-3-031-26351-4_22
(2018)A robust and blind image watermarking scheme in DCT domainInternational Journal of Information and Computer Security10.5555/3292793.329279410:4(321-340)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3292793.3292794
Kricha ZKricha ASakly A(2018)A Robust Watermarking Scheme Based on the Mean Modulation of DWT CoefficientsSecurity and Communication Networks10.1155/2018/12540812018Online publication date: 6-Dec-2018
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Zebbiche KKhelifi FLoukhaoukha K(2018)Robust additive watermarking in the DTCWT domain based on perceptual maskingMultimedia Tools and Applications10.1007/s11042-017-5451-x77:16(21281-21304)Online publication date: 1-Aug-2018
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Sayahi IElkefi AAmar C(2017)Blind watermarking algorithm based on spiral scanning method and error-correcting codesMultimedia Tools and Applications10.1007/s11042-016-3920-276:15(16439-16462)Online publication date: 1-Aug-2017
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Roy SPal A(2017)A robust blind hybrid image watermarking scheme in RDWT-DCT domain using Arnold scramblingMultimedia Tools and Applications10.1007/s11042-016-3902-476:3(3577-3616)Online publication date: 1-Feb-2017
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Singh DSingh S(2017)DWT-SVD and DCT based robust and blind watermarking scheme for copyright protectionMultimedia Tools and Applications10.1007/s11042-016-3706-676:11(13001-13024)Online publication date: 1-Jun-2017
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