Digital Image Watermarking using Daubechies wavelets

This paper proposes a Digital Image Watermarking technique based on DWT+DFT+SVD transforms for transmission of data through watermarking digital color images. The DWT stage selectively utilizes the horizontal detail coefficients of the 2-dimensional DWT of the image. Daubechies wavelet family is used to perform DWT which helps in increasing the accuracy of watermarking. The translation variance problem of the DWT is compensated in the following DFT stage, which exploits the frequency characteristics of the image. Then, DCT is used in compression due to its compact representation power. Finally, SVD (Singular Value Decomposition) is used to embed the watermark into the image. Experimental results, obtained by applying the proposed technique on benchmark test images, show its promising performance. A significant increase in the PSNR value is observed.