Hybrid Non-Blind Watermarking Based on DWT and SVD

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O. Jane
E. Elbaşı
H. G. İlk


Watermarking is identified as a major technology to achieve copyright protection and multimedia security. Therefore,recent studies in literature include some evident approaches for embedding data into a multimedia element. Becauseof its useful frequency component separation, the Discrete Wavelet Transform (DWT) is commonly used inwatermarking schemes. In a DWT-based scheme, the DWT coefficients are modified with the data that represents thewatermark. In this paper, we present a hybrid non-blind scheme based on DWT and Singular Value Decomposition(SVD). After decomposing the cover image into four sub bands (LL, HL, LH and HH), we apply the SVD to LL bandand modify diagonal singular value coefficients with the watermark itself by using a scaling factor. Finally, LL bandcoefficients are reconstructed with modified singular values and inverse DWT is applied to obtain watermarked image.Experimental results show that the proposed algorithm is considerably robust and reliable. In comparison to theprevious literature, peak signal-to-noise ratio (PSNR) values of watermarked images are increased by approximately20%. In terms of PSNR values before and after attacks and of normalized similarity ratio (NSR); although watermarkis embedded into LL sub band; our proposed method gives much more satisfactory results on filtering, scaling,Gaussian, JPEG compression, rotation and cropping than that of previous literature.



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Jane, O., Elbaşı, E., & İlk, H. G. (2014). Hybrid Non-Blind Watermarking Based on DWT and SVD. Journal of Applied Research and Technology, 12(4). https://doi.org/10.1016/S1665-6423(14)70091-4