Robust adaptive video watermarking scheme using visual models in DWT domain

Adaptive digital watermarking algorithm based on DWT and Human Visual System (HVS) is presented for video copyright protection. The scheme contains the preprocessing, watermark embedding and watermark extraction. To improve and enhance the security, the watermark is scrambled by Arnold transform. The proposed technique embeds the scrambled watermark by modifying coefficients of vertical and horizontal detail sub bands of wavelet sub blocks chosen with a secret key. The visual model is designed to generate a Just Noticeable Difference (JND) mask by analyzing luminance masking, texture masking and spatial entropy masking. Since, the secret key is required for both embedding and extraction of watermark, it is not possible for an unauthorized user to extract the embedded watermark. Experimental results show that the proposed scheme is efficient and has good transparency and robustness against various attacks like filtering, noise, JPEG compression, cropping and histogram equalization. When compared with some existing algorithm, it can obtain better indivisibility and robustness. © 2010 Asian Network for Scientific Information.