Robust HDR video watermarking method based on saliency extraction and T-SVD

Meng Du, Ting Luo, Haiyong Xu, Yang Song, Chunpeng Wang

Abstract: In order to protect the copyright of the high dynamic range (HDR) video, a robust HDR video watermarking method based on saliency extraction and tensor-singular value decomposition (T-SVD) is proposed. Since T-SVD can not only represent high-dimension data, but also remain its intrinsic structure, each frame of the HDR video is considered as the third-order tensor to be transformed by using T-SVD for preserving the main characteristics of the frame. Each frame is divided into non-overlapping blocks, and each block is decomposed by using T-SVD to obtain the orthogonal tensor \({\mathcal{U}}\), which includes three orthogonal matrices and represents main energies of the frame. Since the second matrix has more correlations of the video frame than other two matrices, it is used to embed watermark for robustness. Moreover, to obtain the trade-off between watermarking robustness and the visual quality, the saliency map of each frame is extracted to predict the most relevant and important areas for determining the watermark embedding strength. The saliency map is computed based on fusing the spatial saliency and the temporal saliency, where the spatial saliency is built by calculating color, intensity and orientation features of the HDR video and the temporal saliency is obtained by using the optical flow. Experiment results show that the proposed watermarking method can resist a variety of tone mapping attacks and video attacks, and is more robust than existing watermarking methods.