Optimization of scaling factors for image watermarking using harmony search algorithm

Anurag Mishra, Charu Agarwal, Girija Chetty

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

We propose a novel watermarking scheme for images which optimizes the watermarking strength using Harmony Search Algorithm (HSA). The optimized watermarking scheme is based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The amount of modification made in the coefficients of the LL3 sub band of the host image depends on the values obtained by the Harmony Search algorithm. For optimization of scaling factors, HSA uses an objective function which is a linear combination of imperceptibility and robustness. The PSNR and SSIM values show that the visual quality of the signed and attacked images is good. The proposed scheme is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
PublisherSpringer-Verlag London Ltd.
Pages422-434
Number of pages13
ISBN (Print)9783319951706
DOIs
Publication statusPublished - 4 Jul 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia
Duration: 2 Jul 20185 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10963 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Computational Science and Its Applications, ICCSA 2018
CountryAustralia
CityMelbourne
Period2/07/185/07/18

Fingerprint

Harmony Search
Image Watermarking
Image watermarking
Scaling Factor
Watermarking
Search Algorithm
Optimization
Singular value decomposition
Signed
Wavelet Transform
Linear Combination
Image Processing
Discrete wavelet transforms
Objective function
Optimise
Robustness
Image processing
Coefficient

Cite this

Mishra, A., Agarwal, C., & Chetty, G. (2018). Optimization of scaling factors for image watermarking using harmony search algorithm. In Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings (pp. 422-434). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10963 LNCS). Springer-Verlag London Ltd.. https://doi.org/10.1007/978-3-319-95171-3_33
Mishra, Anurag ; Agarwal, Charu ; Chetty, Girija. / Optimization of scaling factors for image watermarking using harmony search algorithm. Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer-Verlag London Ltd., 2018. pp. 422-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "We propose a novel watermarking scheme for images which optimizes the watermarking strength using Harmony Search Algorithm (HSA). The optimized watermarking scheme is based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The amount of modification made in the coefficients of the LL3 sub band of the host image depends on the values obtained by the Harmony Search algorithm. For optimization of scaling factors, HSA uses an objective function which is a linear combination of imperceptibility and robustness. The PSNR and SSIM values show that the visual quality of the signed and attacked images is good. The proposed scheme is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods.",
keywords = "Harmony search algorithm (HSA), Image watermarking, Multiple scaling factors (MSFs), Normalized cross-correlation, Perceptible quality, Robustness",
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Mishra, A, Agarwal, C & Chetty, G 2018, Optimization of scaling factors for image watermarking using harmony search algorithm. in Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10963 LNCS, Springer-Verlag London Ltd., pp. 422-434, 18th International Conference on Computational Science and Its Applications, ICCSA 2018, Melbourne, Australia, 2/07/18. https://doi.org/10.1007/978-3-319-95171-3_33

Optimization of scaling factors for image watermarking using harmony search algorithm. / Mishra, Anurag; Agarwal, Charu; Chetty, Girija.

Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer-Verlag London Ltd., 2018. p. 422-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10963 LNCS).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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N2 - We propose a novel watermarking scheme for images which optimizes the watermarking strength using Harmony Search Algorithm (HSA). The optimized watermarking scheme is based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The amount of modification made in the coefficients of the LL3 sub band of the host image depends on the values obtained by the Harmony Search algorithm. For optimization of scaling factors, HSA uses an objective function which is a linear combination of imperceptibility and robustness. The PSNR and SSIM values show that the visual quality of the signed and attacked images is good. The proposed scheme is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods.

AB - We propose a novel watermarking scheme for images which optimizes the watermarking strength using Harmony Search Algorithm (HSA). The optimized watermarking scheme is based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The amount of modification made in the coefficients of the LL3 sub band of the host image depends on the values obtained by the Harmony Search algorithm. For optimization of scaling factors, HSA uses an objective function which is a linear combination of imperceptibility and robustness. The PSNR and SSIM values show that the visual quality of the signed and attacked images is good. The proposed scheme is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods.

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Mishra A, Agarwal C, Chetty G. Optimization of scaling factors for image watermarking using harmony search algorithm. In Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer-Verlag London Ltd. 2018. p. 422-434. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-95171-3_33