Reversible Data Hiding With Hierarchical Embedding for Encrypted Images

Reversible data hiding in encrypted images (RDHEI) is an effective technique of security. Most state-of-the-art RDHEI methods do not achieve desirable payload yet. To address this problem, we propose a new method with hierarchical embedding. Our contributions are twofold. (1) A novel label map generation proposed for the bit-planes plaintext image. The calculated by using prediction technique, and it compressed embedded into (2) Hierarchical embedding designed to high payload. This hierarchically divides errors three kinds: small-magnitude, medium-magnitude, large-magnitude, which marked different labels. Different from conventional techniques, pixels small-magnitude/large-magnitude both used accommodate secret bits therefore contribute Experiments on two standard datasets discussed validate method. results demonstrate that outperforms some average payloads 3.4568 bpp 3.6823 BOWS-2 dataset BOSSbase dataset, respectively.