A New Robust Semi-Blind Digital Image Watermarking Approach Based on LWT-SVD and Fractal images

The paper presents a novel semi-blind watermarking scheme for image copyright protection, which is developed in the Lifting Wavelet Transform (LWT) and is based on Singular Value Decomposition (SVD). We have been used fractal decoding to make a very compact representation of watermark image. In the embedding phase of watermarking scheme, at first; we perform decomposing of the host image with 2D-LWT transform, then SVD is applied to sub-bands of transformed image, and embed the watermark by modifying the singular values. In the watermark extraction phase, the embedded codes are extracted from the watermarked image. Then the watermark image is rendered by running the extracted code. The experiments indicate that the watermark is robust against the different attacks, such as average filter, Jpeg compression, rotation and etc.