Adaptive Robust Watermarking for Resisting Multiple Distortions in Real Scenes

An efficient and reliable digital watermarking scheme is needed in a complex network environment to solve image copyright disputes. However, most existing digital watermarking technologies can only resist common image processing and perform poorly against complex attacks. To this end, an adaptive robust watermarking for resisting multiple distortions in real scenes is proposed in this work. First, to reduce the impact of common attacks on the robustness of the algorithm, two-level stationary wavelet transform (SWT) is applied to extract low-frequency sub-band of host image, which is subsequently divided into nonoverlapping sub-blocks. Then, a circular sub-block method is designed for watermark embedding. Moreover, an improved Schur decomposition is proposed to control the variation range of eigenvalues. Meanwhile, an adaptive robust factor and embedding strength strategy are proposed to ensure image reconstruction in real number field, thereby balancing the invisibility and robustness of the watermark. Finally, the logistic encryption and repetition code are performed on the watermark to improve the security and error correction capabilities of the watermark. Extensive experiments demonstrate that the proposed scheme has higher performance than some representative watermarking schemes in complex combined attacks and real-world scenarios.