Optimization of scaling factors for image watermarking using harmony search algorithm

Anurag Mishra; Charu Agarwal; Girija Chetty

doi:10.1007/978-3-319-95171-3_33

Optimization of scaling factors for image watermarking using harmony search algorithm

Anurag Mishra, Charu Agarwal, Girija Chetty

Information, Technology (IT) & Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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 language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
Editors	Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Elena Stankova, Carmelo M. Torre, Ana Maria A.C. Rocha, David Taniar, Bernady O. Apduhan, Eufemia Tarantino, Yeonseung Ryu
Place of Publication	Netherlands
Publisher	Springer
Pages	422-434
Number of pages	13
Volume	10963
ISBN (Electronic)	9783319951713
ISBN (Print)	9783319951706
DOIs	https://doi.org/10.1007/978-3-319-95171-3_33
Publication status	Published - 4 Jul 2018
Event	18th International Conference on Computational Science and Its Applications - Melbourne, Australia Duration: 2 Jul 2018 → 5 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10963 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Computational Science and Its Applications
Abbreviated title	ICCSA 2018
Country	Australia
City	Melbourne
Period	2/07/18 → 5/07/18

Access to Document

10.1007/978-3-319-95171-3_33

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Mishra, A., Agarwal, C., & Chetty, G. (2018). Optimization of scaling factors for image watermarking using harmony search algorithm. In O. Gervasi, B. Murgante, S. Misra, E. Stankova, C. M. Torre, A. M. A. C. Rocha, D. Taniar, B. O. Apduhan, E. Tarantino, & Y. Ryu (Eds.), Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings (Vol. 10963, pp. 422-434). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10963 LNCS). Springer. 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. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Elena Stankova ; Carmelo M. Torre ; Ana Maria A.C. Rocha ; David Taniar ; Bernady O. Apduhan ; Eufemia Tarantino ; Yeonseung Ryu. Vol. 10963 Netherlands : Springer, 2018. pp. 422-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{937a0387c1ca49d5b13a2efe0ed498f1,

title = "Optimization of scaling factors for image watermarking using harmony search algorithm",

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",

author = "Anurag Mishra and Charu Agarwal and Girija Chetty",

year = "2018",

month = jul,

day = "4",

doi = "10.1007/978-3-319-95171-3_33",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Elena Stankova and Torre, {Carmelo M.} and Rocha, {Ana Maria A.C.} and David Taniar and Apduhan, {Bernady O.} and Eufemia Tarantino and Yeonseung Ryu",

booktitle = "Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings",

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note = "18th International Conference on Computational Science and Its Applications, ICCSA 2018 ; Conference date: 02-07-2018 Through 05-07-2018",

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Mishra, A, Agarwal, C & Chetty, G 2018, Optimization of scaling factors for image watermarking using harmony search algorithm. in O Gervasi, B Murgante, S Misra, E Stankova, CM Torre, AMAC Rocha, D Taniar, BO Apduhan, E Tarantino & Y Ryu (eds), Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. vol. 10963, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10963 LNCS, Springer, Netherlands, pp. 422-434, 18th International Conference on Computational Science and Its Applications, 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. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Elena Stankova; Carmelo M. Torre; Ana Maria A.C. Rocha; David Taniar; Bernady O. Apduhan; Eufemia Tarantino; Yeonseung Ryu. Vol. 10963 Netherlands : Springer, 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 Book › Conference contribution › peer-review

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T1 - Optimization of scaling factors for image watermarking using harmony search algorithm

AU - Mishra, Anurag

AU - Agarwal, Charu

AU - Chetty, Girija

PY - 2018/7/4

Y1 - 2018/7/4

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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KW - Image watermarking

KW - Multiple scaling factors (MSFs)

KW - Normalized cross-correlation

KW - Perceptible quality

KW - Robustness

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SN - 9783319951706

VL - 10963

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 422

EP - 434

BT - Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Stankova, Elena

A2 - Torre, Carmelo M.

A2 - Rocha, Ana Maria A.C.

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Tarantino, Eufemia

A2 - Ryu, Yeonseung

PB - Springer

CY - Netherlands

T2 - 18th International Conference on Computational Science and Its Applications

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Mishra A, Agarwal C, Chetty G. Optimization of scaling factors for image watermarking using harmony search algorithm. In Gervasi O, Murgante B, Misra S, Stankova E, Torre CM, Rocha AMAC, Taniar D, Apduhan BO, Tarantino E, Ryu Y, editors, Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Vol. 10963. Netherlands: Springer. 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