In this paper, we present DBMark, a new end-to-end digital image watermarking framework to deep boost the robustness of DNN-based image watermarking. The key novelty is the synergy of the Invertible Neural Networks(INNs) and effective watermark features generation. The framework generates watermark features with redundancy and error correction ability through message processing, synergized with the powerful information embedding and extraction capabilities of Invertible Neural Networks to achieve higher robustness and invisibility. Extensive experiment results demonstrate the superiority of the proposed framework compared with the state-of-the-art ones under various distortions.

翻译：在本文中,我们介绍了DBmark,这是一个新的端到端数字图像水标记框架,以深入提升基于 DNN 的图像水标记的稳健性。关键的新颖之处是不可倒置的神经网络(INNs)和有效水标记特性生成的协同作用。这个框架通过信息处理产生冗余和错误纠正能力的水标记特征,与不可倒置的神经网络的强大信息嵌入和提取能力同步,以实现更高的稳健性和隐蔽性。广泛的实验结果表明,与各种扭曲下的最新框架相比,拟议框架具有优势。