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research-article

Analysis and effectiveness of deeper levels of SVD on performance of hybrid DWT and SVD watermarking

Authors:

Tanya Koohpayeh Araghi,

David MegíasAuthors Info & Claims

Multimedia Tools and Applications, Volume 83, Issue 2

Pages 3895 - 3916

https://doi.org/10.1007/s11042-023-15554-z

Published: 20 May 2023 Publication History

Abstract

In this paper, an analysis on hybrid Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for image watermarking is carried out to investigate the effect of a deeper level of the SVD on imperceptibility and robustness to resist common signal processing and geometric attacks. For this purpose, we have designed two hybrid watermarking schemes, the first one with DWT and first level of SVD, whereas, in the second scheme, the same design is employed with a second level of SVD. In this experiment, a comprehensive analysis is performed on the two designed schemes and the effect of robustness and imperceptibility is compared in the first and second levels of SVD in each DWT sub-band. Having analyzed more than 100 medical and non-medical images in standard datasets and real medical samples of patients, the experimental outcomes show a remarkable increase in both imperceptibility and robustness in the second level of SVD, in comparison to the first level. In addition, the achieved result shows that the SVD2 scheme offers the highest imperceptibility in the LL sub-band (more than 60 dB on average PSNR), with satisfactory robustness against noise attacks, but less persistence in some geometric attacks such as cropping. For the HH sub-band, strong robustness against all types of tested of attacks is obtained, though its imperceptibility is slightly lower than the achieved PSNR in the LL sub-band. In HH sub-band, an average growth of 5 dB in PSNR and 2% in NC can be observed from the second level of SVD in comparison to the first level. These results make SVD2 a good candidate for content protection, especially for medical images.

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Cited By

Rosales AMalanowska AKoohpayeh Araghi TKuribayashi MKowalczyk MBlanche-Tarragó DMazurczyk WMegías D(2024)Trustworthiness and explainability of a watermarking and machine learning-based system for image modification detection to combat disinformationProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670934(1-10)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670934
Araghi TMegías DGarcia-Font VKuribayashi MMazurczyk W(2024)Disinformation detection and source tracking using semi-fragile watermarking and blockchainProceedings of the 2024 European Interdisciplinary Cybersecurity Conference10.1145/3655693.3655718(136-143)Online publication date: 5-Jun-2024
https://dl.acm.org/doi/10.1145/3655693.3655718
Dutta TGupta M(2024)Optimized Watermarking Using Artificial Bee Colony Algorithm and 6-D Hyperchaotic Map Based Image Cryptographic SchemeSN Computer Science10.1007/s42979-024-03344-95:8Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1007/s42979-024-03344-9

Index Terms

Analysis and effectiveness of deeper levels of SVD on performance of hybrid DWT and SVD watermarking

Index terms have been assigned to the content through auto-classification.

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cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 83, Issue 2

Jan 2024

3003 pages

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© The Author(s) 2023.

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Kluwer Academic Publishers

United States

Publication History

Published: 20 May 2023

Accepted: 18 April 2023

Revision received: 16 February 2023

Received: 03 June 2022

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Universitat Oberta de Catalunya
Universitat Oberta de Catalunya

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Cited By

Rosales AMalanowska AKoohpayeh Araghi TKuribayashi MKowalczyk MBlanche-Tarragó DMazurczyk WMegías D(2024)Trustworthiness and explainability of a watermarking and machine learning-based system for image modification detection to combat disinformationProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670934(1-10)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670934
Araghi TMegías DGarcia-Font VKuribayashi MMazurczyk W(2024)Disinformation detection and source tracking using semi-fragile watermarking and blockchainProceedings of the 2024 European Interdisciplinary Cybersecurity Conference10.1145/3655693.3655718(136-143)Online publication date: 5-Jun-2024
https://dl.acm.org/doi/10.1145/3655693.3655718
Dutta TGupta M(2024)Optimized Watermarking Using Artificial Bee Colony Algorithm and 6-D Hyperchaotic Map Based Image Cryptographic SchemeSN Computer Science10.1007/s42979-024-03344-95:8Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1007/s42979-024-03344-9

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