Digital Image Watermarking Using Balanced Multiwavelets

In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. The latter transform achieves simultaneous orthogonality and symmetry without requiring any input prefiltering. Therefore, considerable reduction in computational complexity is possible, making this tra...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ghouti, L. (author)
مؤلفون آخرون: unknown (author)
التنسيق: article
منشور في: 2006
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/1246/1/IEEE-SP-Paper.pdf
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author Ghouti, L.
author2 unknown
author2_role author
author_facet Ghouti, L.
unknown
author_role author
dc.creator.none.fl_str_mv Ghouti, L.
unknown
dc.date.none.fl_str_mv 2006-04-01
2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/1246/1/IEEE-SP-Paper.pdf
(2006) Digital Image Watermarking Using Balanced Multiwavelets. IEEE Transactions on Signal Processing, 54 (4). pp. 1519-1536.
10.1109/TSP.2006.870624
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/1246/
10.1109/TSP.2006.870624
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
Electrical
dc.title.none.fl_str_mv Digital Image Watermarking Using Balanced Multiwavelets
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. The latter transform achieves simultaneous orthogonality and symmetry without requiring any input prefiltering. Therefore, considerable reduction in computational complexity is possible, making this transform a good candidate for real-time watermarking implementations such as audio broadcast monitoring and DVD video watermarking. The embedding scheme is image adaptive using a modified version of a well-established perceptual model. Therefore, the strength of the embedded watermark is controlled according to the local properties of the host image. This has been achieved by the proposed perceptual model, which is only dependent on the image activity and is not dependent on the multifilter sets used, unlike those developed for scalar wavelets. This adaptivity is a key factor for achieving the imperceptibility requirement often encountered in watermarking applications. In addition, the watermark embedding scheme is based on the principles of spread-spectrum communications to achieve higher watermark robustness. The optimal bounds for the embedding capacity are derived using a statistical model for balanced multiwavelet coefficients of the host image. The statistical model is based on a generalized Gaussian distribution. Limits of data hiding capacity clearly show that balanced multiwavelets provide higher watermarking rates. This increase could also be exploited as a side channel for embedding watermark synchronization recovery data. Finally, the analytical expressions are contrasted with experimental results where the robustness of the proposed watermarking system is evaluated against standard watermarking attacks.
eu_rights_str_mv openAccess
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id KFUPM_8a3a9b6182d41b4edb8bf413cf6a7a26
identifier_str_mv (2006) Digital Image Watermarking Using Balanced Multiwavelets. IEEE Transactions on Signal Processing, 54 (4). pp. 1519-1536.
10.1109/TSP.2006.870624
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::1246
publishDate 2006
publisher.none.fl_str_mv IEEE
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repository.name.fl_str_mv
repository_id_str
spelling Digital Image Watermarking Using Balanced MultiwaveletsGhouti, L.unknownComputerElectricalIn this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. The latter transform achieves simultaneous orthogonality and symmetry without requiring any input prefiltering. Therefore, considerable reduction in computational complexity is possible, making this transform a good candidate for real-time watermarking implementations such as audio broadcast monitoring and DVD video watermarking. The embedding scheme is image adaptive using a modified version of a well-established perceptual model. Therefore, the strength of the embedded watermark is controlled according to the local properties of the host image. This has been achieved by the proposed perceptual model, which is only dependent on the image activity and is not dependent on the multifilter sets used, unlike those developed for scalar wavelets. This adaptivity is a key factor for achieving the imperceptibility requirement often encountered in watermarking applications. In addition, the watermark embedding scheme is based on the principles of spread-spectrum communications to achieve higher watermark robustness. The optimal bounds for the embedding capacity are derived using a statistical model for balanced multiwavelet coefficients of the host image. The statistical model is based on a generalized Gaussian distribution. Limits of data hiding capacity clearly show that balanced multiwavelets provide higher watermarking rates. This increase could also be exploited as a side channel for embedding watermark synchronization recovery data. Finally, the analytical expressions are contrasted with experimental results where the robustness of the proposed watermarking system is evaluated against standard watermarking attacks.IEEE2006-04-012020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/1246/1/IEEE-SP-Paper.pdf (2006) Digital Image Watermarking Using Balanced Multiwavelets. IEEE Transactions on Signal Processing, 54 (4). pp. 1519-1536. 10.1109/TSP.2006.870624enhttps://eprints.kfupm.edu.sa/id/eprint/1246/10.1109/TSP.2006.870624info:eu-repo/semantics/openAccessoai::12462019-11-01T13:26:31Z
spellingShingle Digital Image Watermarking Using Balanced Multiwavelets
Ghouti, L.
Computer
Electrical
status_str publishedVersion
title Digital Image Watermarking Using Balanced Multiwavelets
title_full Digital Image Watermarking Using Balanced Multiwavelets
title_fullStr Digital Image Watermarking Using Balanced Multiwavelets
title_full_unstemmed Digital Image Watermarking Using Balanced Multiwavelets
title_short Digital Image Watermarking Using Balanced Multiwavelets
title_sort Digital Image Watermarking Using Balanced Multiwavelets
topic Computer
Electrical
url https://eprints.kfupm.edu.sa/id/eprint/1246/1/IEEE-SP-Paper.pdf