Reversible Data Hiding over Encrypted Images via Intrinsic Correlation in Block-Based Secret Sharing
Reversible data hiding over encrypted images (RDH-EI) is an important technique for secure cloud image management but existing schemes often exhibit high computational complexity, low embedding rates, and excessive data expansion. This article addresses these issues by analyzing block-based secret sharing, revealing significant intra-block data redundancy. Based on this observation, we propose two space-preserving methods: the direct space-vacating method and the image-shrinking-based space-vacating method. Using these techniques, we design two novel RDH-EI schemes: a high-capacity RDH-EI scheme and a size-reduced RDH-EI scheme. The high-capacity RDH-EI scheme directly creates embedding space in encrypted images, eliminating the need for complex space-vacating operations and achieving higher and more stable embedding rates. In contrast, the size-reduced RDH-EI scheme minimizes data expansion by discarding unnecessary shares, resulting in smaller encrypted images. Experimental results show that the high-capacity RDH-EI scheme outperforms existing methods in terms of embedding capacity, while the size-reduced RDH-EI scheme achieves strong performance in minimizing data expansion. Both schemes offer effective solutions for RDH-EI challenges.
Authors
- Zhongyun Hua (ORCID: https://orcid.org/0000-0002-3529-0541)
- Weijia Cao (ORCID: https://orcid.org/0000-0002-6038-8014)
- Zhaoquan Gu (ORCID: https://orcid.org/0000-0001-7546-852X)
- Nankun Mu (ORCID: https://orcid.org/0009-0005-1560-8267)
- Yifeng Zheng (ORCID: https://orcid.org/0000-0001-7852-6051)
- Shuang Yi (ORCID: https://orcid.org/0000-0002-2186-7995)
- Jia Zou (ORCID: https://orcid.org/0009-0003-9566-8483)
Institutions
- Southwest University of Political Science & Law (CN)
- Hong Kong Polytechnic University (HK)
- Chongqing University (CN)
- Chinese Academy of Sciences (CN)
- Harbin Institute of Technology (CN)
- Peng Cheng Laboratory (CN)
- Aerospace Information Research Institute (CN)
Publication Details
- Journal
- ACM Transactions on Multimedia Computing Communications and Applications
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1145/3778177
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00