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 |
| Publisher | Springer-Verlag London Ltd. |
| Pages | 422-434 |
| Number of pages | 13 |
| ISBN (Print) | 9783319951706 |
| DOIs | |
| Publication status | Published - 4 Jul 2018 |
| Event | 18th International Conference on Computational Science and Its Applications, ICCSA 2018 - 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, ICCSA 2018 |
|---|---|
| Country | Australia |
| City | Melbourne |
| Period | 2/07/18 → 5/07/18 |
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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 Book › Conference contribution
TY - GEN
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.
KW - Harmony search algorithm (HSA)
KW - Image watermarking
KW - Multiple scaling factors (MSFs)
KW - Normalized cross-correlation
KW - Perceptible quality
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85049942430&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/optimization-scaling-factors-image-watermarking-using-harmony-search-algorithm
U2 - 10.1007/978-3-319-95171-3_33
DO - 10.1007/978-3-319-95171-3_33
M3 - Conference contribution
SN - 9783319951706
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
PB - Springer-Verlag London Ltd.
ER -