An Efficient CRT based Digital Image Watermarking using Double Density Wavelet Transform

Singh, Prerna An Efficient CRT based Digital Image Watermarking using Double Density Wavelet Transform. International Journal of Computer Science and Network - IJCSN, 2016, vol. 5, n. 5. [Journal article (Unpaginated)]

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English abstract

Digital Watermarking is an unpretentious and effective approach to afford copyright fortification. Watermark transparency is obligatory primarily for copyright protection. The challenge is to introduce a digital watermark that is both transparent and highly robust to common signal processing and possible attacks. The two basic requirements for an effective watermarking scheme, robustness and transparency, conflict with each other.This paper proposesa watermarking technique for digital gray scale images that is based on utilizing congruence’s in number theory and its generalizations in abstract algebra which have been developed in the context of image compression. Watermarking scheme is based on a Chinese Remainder Theorem along with Double Density Discrete Wavelet Transform framework individually which allows for the possibility of directly watermarking the Image bitstream, Watermark region selection is based on transformation level. In proposed scheme, initially, the cover image and watermark are transformed into spatial domain using Double Density Wavelet Transform and then singular values of these transformed images are combined using CRT coefficients. Our scheme is shown to provide very good results both in terms of image transparency and robustness. An optimal watermark embedding method is developed to achieve minimum watermarking distortion. Experimental results are provided in terms of Peak signal to noise ratio (PSNR), Mean Squared Error (MSE), Correlation and Weighted Peak signal to noise ratio (WPSNR) to demonstrate the effectiveness of the proposed algorithm.

Item type: Journal article (Unpaginated)
Keywords: CRT, Digital Watermarking, Multiscale Embedding, Wavelet Subspaces, SVD, DWT, and Double Density Discrete Wavelet Transform
Subjects: I. Information treatment for information services > IH. Image systems.
Depositing user: IJCSN Journal
Date deposited: 14 Nov 2016 04:12
Last modified: 14 Nov 2016 04:12


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