LAUSR

Despite the success of watermarking technique for protecting depth image-based rendering (DIBR) 3-D videos, existing methods still can hardly ensure the robustness against geometric attacks, lossless video quality, and distinguishability between different videos simultaneously. In this article, we propose a novel zero-watermarking scheme to address this challenge. Specifically, we design CT-SVD features to ensure both distinguishability and robustness against signal processing and DIBR conversion attacks. In addition, a logistic–logistic chaotic system is utilized to encrypt features for the enhanced security. Moreover, a rectification mechanism based on salient map detection and SIFT matching is designed to resist geometric attacks. Finally, we establish an attention-based fusion mechanism to explore the complementary robustness of rectified and unrectified features. Experimental results demonstrate that our proposed method outperforms the existing schemes in terms of losslessness, distinguishability, and robustness against geometric attacks.