Robust and high capacity watermarking for image based on DWT-SVD

In this paper, we propose a blind digital image watermarking technique by combining Discrete Wavelet Transform (DWT) with Singular Value Decomposition (SVD) to improve the robustness and the capacity. In detail, Singular Values (SVs) of watermarks are replaced with the suitable SVs of HH sub-bands of the original images. Additionally, our method generates keys that ensures the security for the watermarks in the embedding and the extraction process. Experiments on images for digital watermarking attacked by Stirmark Benchmark 4.0 tool show that our method is more robust, imperceptible and higher capacity than others'.