Self-embedding watermarking for ciphertext images with lossless recovery capability
Nowadays, image encryption and secret sharing are commonly combined to protect the private information of images and to gain disaster-tolerance. However, encrypted images are also susceptible to tampering when transmitted over insecure channels, and secret sharing techniques cannot guarantee tampering localization and lossless recovery when each share of the encrypted image is tampered with. Thus, in this paper, we propose a self-embedding watermarking scheme for ciphertext images, which can realize tampering localization and lossless recovery. In detail, we first design a lossless compression algorithm to compress the original image to obtain a redundant space for embedding authentication bits. Then, we encrypt the compress data and use reference sharing mechanism to generate reference bits for recovering tampered content. In addition, a reversible data hiding scheme based on secret image sharing is applied to divide the encrypted image into multiple ciphertext images, and reference bits are embedded during this process. At the receiver end, integrity authentication and tampering localization are performed on the collected images based on the authentication bits. Then, according to the results of the integrity authentication, the original image can be recovered losslessly through image-based or block-based recovery. Extensive experimental results show that the proposed scheme achieves high performance in terms of recovery quality, security, tampering resistance, etc.
Authors
- Fang Cao (ORCID: https://orcid.org/0000-0002-8611-0387)
- Lin Huang (ORCID: https://orcid.org/0000-0002-9024-9840)
- Chuan Qin (ORCID: https://orcid.org/0000-0002-0370-4623)
- Lin Lu (ORCID: https://orcid.org/0009-0003-5312-8833)
- Haowei Ye
Institutions
- University of Shanghai for Science and Technology (CN)
- Shanghai Maritime University (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1145/3703935.3703947
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00