Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression
This work addresses the need for secure image data hiding with high capacity, though it appears incremental as it builds on existing RDHEI techniques.
The paper tackled the problem of reversible data hiding in encrypted images by proposing a scheme based on pixel prediction and bit-plane compression, resulting in an embedding capacity that outperforms state-of-the-art methods.
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.