Robust image watermarking based on singular value decomposition and discrete wavelet transform

Robustness against geometric distortions one of the crucial important issues in watermarking. In this paper, a new singular value decomposition-discrete wavelet transform (SVD-DWT) composite image watermarking algorithm that is robust against watermarking algorithm that is robust against processing is presented. We use DWT and IDWT transform to obtain four different frequency images. Watermarking is embedded in high frequency image by singular value decomposition. This is unlike traditional viewpoint that assumes watermarking should be embeds watermarking in low or middle frequency to have good robustness. Experimental evaluation demonstrates that the proposed algorithm is able to withstand a variety of attacks including common geometric attacks.