Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression

TL;DR

This paper introduces a reversible data hiding scheme in encrypted images that leverages pixel prediction and bit-plane compression to maximize embedding capacity while ensuring lossless image recovery.

Contribution

It proposes a novel RDHEI method combining pixel prediction, bit-plane compression, and multi-LSB substitution for improved capacity and accuracy.

Findings

Higher embedding capacity than existing methods.

Lossless recovery of original images.

Effective use of pixel correlation for data hiding.

Abstract

Reversible data hiding in encrypted images (RDHEI) receives growing attention because it protects the content of the original image while the embedded data can be accurately extracted and the original image can be reconstructed lossless. To make full use of the correlation of the adjacent pixels, this paper proposes an RDHEI scheme based on pixel prediction and bit-plane compression. Firstly, to vacate room for data embedding, the prediction error of the original image is calculated and used for bit-plane rearrangement and compression. Then, the image after vacating room is encrypted by a stream cipher. Finally, the additional data is embedded in the vacated room by multi-LSB substitution. Experimental results show that the embedding capacity of the proposed method outperforms the state-of-the-art methods.