Robust reversible watermarking (RRW) enables copyright protection for images while overcoming the limitation of distortion introduced by watermark itself. Current RRW schemes typically employ a two-stage framework, which fails to achieve simultaneous robustness and reversibility within a single watermarking, and functional interference between the two watermarks results in performance degradation in multiple terms such as capacity and imperceptibility. We propose SiGRRW, a single-watermark RRW framework, which is applicable to both generative models and natural images. We introduce a novel guiding strategy to generate guiding images, serving as the guidance for embedding and recovery. The watermark is reversibly embedded with the guiding residual, which can be calculated from both cover images and watermark images. The proposed framework can be deployed either as a plug-and-play watermarking layer at the output stage of generative models, or directly applied to natural images. Extensive experiments demonstrate that SiGRRW effectively enhances imperceptibility and robustness compared to existing RRW schemes while maintaining lossless recovery of cover images, with significantly higher capacity than conventional schemes.

翻译：鲁棒可逆水印（RRW）能够为图像提供版权保护，同时克服水印自身引入失真的局限性。现有的RRW方案通常采用两阶段框架，这无法在单次水印嵌入中同时实现鲁棒性与可逆性，且两个水印之间的功能干扰会导致容量和不可感知性等多方面性能下降。我们提出了SiGRRW，一种适用于生成模型和自然图像的单水印RRW框架。我们引入了一种新颖的引导策略来生成引导图像，作为水印嵌入与恢复的指导。水印通过引导残差进行可逆嵌入，该残差可从载体图像和水印图像中计算得出。所提框架既可作为即插即用的水印层部署在生成模型的输出阶段，也可直接应用于自然图像。大量实验表明，与现有RRW方案相比，SiGRRW在保持载体图像无损恢复的同时，有效增强了不可感知性和鲁棒性，且其容量显著高于传统方案。