Published in Issue 2017-08-14
How to Cite
Najafi, E. (2017). A robust embedding and blind extraction of image watermarking based on discrete wavelet transform. Mathematical Sciences, 11(4 (December 2017). https://doi.org/10.1007/s40096-017-0233-1
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Abstract
Abstract In this study, a new algorithm that can be used for copyright protection is proposed for the embedding and detection of a watermark in the domain of discrete wavelet transform (DWT). The elements of the logo watermark are embedded directly to the three-level DWT decomposed subbands. In addition to that, the scheme is considered as a completely blind scheme for both host image and watermark. Two kinds of security attacks have also been considered which confirms the security of the scheme. The experimental results and computer simulation of the proposed scheme have shown that the proposed approach has the desired properties such as invisibility, blind detection, and robustness against various geometrical and non-geometrical attacks.Keywords
- Wavelet transform,
- Image processing,
- Image watermarking,
- Signal detection and filtering
References
- Shih (2010) Wiley https://doi.org/10.1002/9780470590416
- Lin and Chen (2000) A robust DCT-based watermarking for copyright protection 46(3) (pp. 415-421) https://doi.org/10.1109/30.883387
- Patra et al. (2010) A novel DCT domain CRT-based watermark-ing scheme for image authentication surviving JPEG compression 20(6) (pp. 1597-1611) https://doi.org/10.1016/j.dsp.2010.03.010
- Premaratne, P., Ko, C.: A novel watermark embedding and detection scheme for images in DFT domain. In: 7th International Conference on Image Processing and Its Applications, pp. 780–783 (1999)
- Rastegar et al. (2011) Hybrid watermarking algorithm based on singular value decomposition and radon transform, AE 65(7) (pp. 658-663) https://doi.org/10.1016/j.aeue.2010.09.008
- Lai and Tsai (2010) Digital image watermarking using discrete wavelet transform and singular value decomposition 59(11) (pp. 3060-3063) https://doi.org/10.1109/TIM.2010.2066770
- Lagzian et al. (2011) Anew robust watermarking scheme based on RDWT-SVD 2(1) (pp. 22-29)
- Makbol and Khoo (2013) Robust blind image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition, AE 67(2) (pp. 102-112) https://doi.org/10.1016/j.aeue.2012.06.008
- Makbol and Khoo (2014) A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition (pp. 134-147) https://doi.org/10.1016/j.dsp.2014.06.012
- Liu and Tan (2002) An SVD-based watermarking scheme for protecting rightful ownership 4(1) (pp. 121-128) https://doi.org/10.1109/6046.985560
- Ganic and Eskicioglu (2005) Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition 14(4) https://doi.org/10.1117/1.2137650
- Loukhaoukha et al. (2011) Optimal image watermarking algorithm based on LWTSVD via multi-objective ant colony optimization (pp. 303-319)
- Gupta and Raval (2012) Arobust and secure watermarking scheme based on singular values replacement (pp. 425-440) https://doi.org/10.1007/s12046-012-0089-x
- Gonzalez and Woods (2008) Pearson International Edition
- Daubechies (1992) Society for Industrial and Applied Mathematics https://doi.org/10.1137/1.9781611970104
- Goswami and Chan (1999) Wiley
- Lee et al. (2012) High-payload image hiding with quality recovery using tri-way pixel-value differencing (pp. 214-225) https://doi.org/10.1016/j.ins.2012.01.002
- Al-Haj (2007) Combined DWT-DCT digital image watermarking 3(11) (pp. 740-746)
- Bounkong et al. (2003) ICA for watermarking digital images (pp. 1471-1498)
- Schyndel et al. (1994) A digital watermark (pp. 86-90) https://doi.org/10.1109/ICIP.1994.413536
- Cox et al. (2001) The Morgan Kaufmann Publishers
- Kutter, M., Voloshynovskiy, S., Herrigel, A.: The Watermark Copy Attack, in Security and Watermarking of Multimedia Contents II, SPIE-3971:371380 (2000)
- Al-Nabhani, Y., et al.: Robust watermarking algorithm for digital images using discrete wavelet and probabilistic neural network. J. King Saud Univ. Comput. Inf. Sci. (2015) doi:
- 10.1016/j.jksuci.2015.02.002
10.1007/s40096-017-0233-1