To address the limited embedding capacity of existing Reversible Data Hiding in Encrypted Images (RDHEI) schemes, this paper proposes a novel method that integrates bidirectional pixel shifting with a dynamic block partitioning strategy. By modeling encrypted image pixels as horizontal and vertical circular queues, the proposed scheme enables dual-layer data embedding through pixel permutation without modifying pixel values, thereby strictly preserving the statistical characteristics of encrypted images. Furthermore, a dynamic block partitioning mechanism is designed to adaptively select between 2 × 2 and 4 × 4 block structures based on block recoverability, achieving an effective balance between embedding capacity and extraction reliability. Extensive experiments conducted on the BOWS-2, BOSSBase, and UCID datasets demonstrate that the proposed method achieves average embedding rates of 0.7156, 0.7241, and 0.6290 bpp, respectively, significantly outperforming state-of-the-art pixel rearrangement–based RDHEI methods. The experimental results also confirm perfect reversibility and strong resistance to statistical analysis.
Lin et al. (Mon,) studied this question.
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