Research on Quantization-Based Robust Video Watermarking Technique Against Geometrical Attacks

The watermarking technique robust to both signal processing attacks and geometrical attacks is one of the hotspots and difficulties in the digital watermarking research. Proposed in this paper is a video watermarking scheme efficiently robust to many kinds of signal processing attacks and rotation, scaling and translation (RST) attacks. In the embedding scheme, a geometrical invariable is proposed, which is based on the invariability of statistical feature in the circular image area. Using this invariability, the geometrical distortion is first retrieved. And then a significant watermarking and synchronization information is adaptively embedded into the discrete cosine transform (DCT) domain according to the characteristics of DCT coefficients. Moreover, in the algorithm a novel embedding method is adopted, which can embed multi-bit information in a selected position. In the extraction scheme, the embedded watermarking is located by the synchronization information and the geometrical distortion is retrieved making use of circular feature area if geometrical attacks are encountered, and finally the watermarking is obliviously extracted in the DCT domain. The experimental results show the proposed scheme can achieve good transparency and better resistance against RST attacks and excellent robustness to common attacks such as MPEG compression, frame loss, etc.