Physically Robust Reversible Watermarking

Jiale Chen, Xiaojian Ji, Li Dong, Rangding Wang, Diqun Yan, Jinyu Tian

Abstract: In this work, we for the first time propose a novel invisible digital image watermarking framework which dubbed as Physical Robust Reversible Watermarking (PRRW). The proposed PRRW enjoys two merits. First, it allows for complete extraction of the watermark and perfect reconstruction of the cover image when the watermarked image shared through digital lossless channel. Second, the PRRW is resilient to distortions caused by the physically screen-tocamera communication channel. Specifically, PRRW is based on a template-based robust watermarking scheme and we further arm it with reversibility. For watermark embedding, we first identify a sub-image of the cover image that can accommodate the maximum embeddable strength, and then embed the watermark into it. For watermark extraction, we introduce a watermark detection network that could accurately locate the marked sub-image and extract the watermark, without any assistance from any landmarks. Experimental results demonstrate the effectiveness and practical usage of the proposed PRRW framework.