MMJul 8, 2020

Reversible Data Hiding in Encrypted Images Based on Bit-plane Compression of Prediction Error

arXiv:2007.04057v3
AI Analysis

This is an incremental improvement for privacy protection and information security in reversible data hiding in encrypted images.

The paper tackles the problem of embedding data into encrypted images while preserving image quality, proposing a method based on bit-plane compression of prediction error that achieves higher embedding capacity than state-of-the-art works.

As a technology that can prevent the information from being disclosed, the reversible data hiding in encrypted images (RDHEI) acts as an important role in privacy protection and information security. To make use of the image redundancy and further improve the embedding performance, a high-capacity RDHEI method based on bit-plane compression of prediction error is proposed in this paper. Firstly, the whole prediction error is calculated and divided into blocks of the same size. Then, the content owner rearranges the bit-plane of prediction error by block and compresses the bitstream with the joint encoding algorithm to reserve room. Finally, the image is encrypted and the information can be embedded into the reserved room. On the receiver side, the information extraction and the image recovery are performed separably. Experimental results show that the proposed method brings higher embedding capacity than state-of-the-art RDHEI works.

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