A Flipped Reversible Information Hiding Method Based on AMP

Yaowen Fu, Haoshan Shi, Tianyang Qi, Xueyan Gao, Yifei Zou

Abstract: Adaptive MSB Prediction is an effective technique to achieve Reversible Data Hiding in Encrypted Images(RDHEI). Specifically, the image is divided into 2 × 2 pixels blocks and encrypted to preserve pixel correlation, the shared MSB of pix-els in the block is extracted, only one of the four identical MSBs is saved, and the positions of the three vacated MSBs are embedded with data. However, the pixel blocks with poor correlation cannot embed data, in addition, the scheme has some blocks with very close pixel values but cannot embed data, which limits the embedding capacity. A new MSB prediction-based RDHEI framework is proposed, supporting an adaptive strategy. Flipping strategy makes some unavailable blocks available, enhancing embedding capacity. Experimental results show improved prediction accuracy and embedding capacity while ensuring reversibility.