A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection

Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret...

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Main Authors:	Makbol, N.M., Khoo, Bee Ee, Rassem, Taha H., Loukhaoukha, Khaled
Format:	Article
Language:	English
Published:	Elsevier Inc. 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/1/1-s2.0-S0020025516322186-main.pdf

id	ump-18413
recordtype	eprints
spelling	ump-184132018-03-29T07:50:48Z http://umpir.ump.edu.my/id/eprint/18413/ A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled QA75 Electronic computers. Computer science Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret keys. In this study, a new reliable SVD-based image watermarking scheme that uses integer wavelet transform (IWT) is proposed to overcome FPP and fulfil all watermarking requirements. Unlike in other schemes, the S and V matrices of the watermark are used as secret keys, whereas the S singular vector of the watermark is embedded into the singular values of the host image. The additional secret key is obtained from the watermarked image during the embedding process to increase security and avoid FPP completely. To improve the robustness, as well as achieve balance between robustness and imperceptibility, multi-objective ant colony optimization (MOACO) is utilized to find the optimal scaling factors, namely, multiple zooming factors. Results of the robustness, imperceptibility, and reliability tests demonstrate that the proposed IWT-SVD-MOACO scheme outperforms several previous schemes and avoids FPP completely. Elsevier Inc. 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18413/1/1-s2.0-S0020025516322186-main.pdf Makbol, N.M. and Khoo, Bee Ee and Rassem, Taha H. and Loukhaoukha, Khaled (2017) A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection. Information Sciences, 417. pp. 381-400. ISSN 0020-0255 https://doi.org/10.1016/j.ins.2017.07.026 DOI: 10.1016/j.ins.2017.07.026
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
description	Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret keys. In this study, a new reliable SVD-based image watermarking scheme that uses integer wavelet transform (IWT) is proposed to overcome FPP and fulfil all watermarking requirements. Unlike in other schemes, the S and V matrices of the watermark are used as secret keys, whereas the S singular vector of the watermark is embedded into the singular values of the host image. The additional secret key is obtained from the watermarked image during the embedding process to increase security and avoid FPP completely. To improve the robustness, as well as achieve balance between robustness and imperceptibility, multi-objective ant colony optimization (MOACO) is utilized to find the optimal scaling factors, namely, multiple zooming factors. Results of the robustness, imperceptibility, and reliability tests demonstrate that the proposed IWT-SVD-MOACO scheme outperforms several previous schemes and avoids FPP completely.
format	Article
author	Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled
author_facet	Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled
author_sort	Makbol, N.M.
title	A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
title_short	A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
title_full	A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
title_fullStr	A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
title_full_unstemmed	A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
title_sort	new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection
publisher	Elsevier Inc.
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/1/1-s2.0-S0020025516322186-main.pdf
first_indexed	2023-09-18T22:26:04Z
last_indexed	2023-09-18T22:26:04Z
_version_	1777415975022362624

A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection

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