Reversible data hiding in encrypted images based on pixel prediction and multi-MSB planes rearrangement

TL;DR

This paper introduces a reversible data hiding method in encrypted images that uses pixel prediction and multi-MSB plane rearrangement, achieving higher embedding capacity while ensuring lossless image recovery.

Contribution

The proposed method innovatively combines pixel prediction with multi-MSB plane rearrangement for improved data embedding capacity in RDHEI.

Findings

Higher embedding capacity than existing methods

Lossless recovery of original images

Effective use of pixel prediction and bit plane rearrangement

Abstract

Great concern has arisen in the field of reversible data hiding in encrypted images (RDHEI) due to the development of cloud storage and privacy protection. RDHEI is an effective technology that can embed additional data after image encryption, extract additional data error-free and reconstruct original images losslessly. In this paper, a high-capacity and fully reversible RDHEI method is proposed, which is based on pixel prediction and multi-MSB (most significant bit) planes rearrangement. First, the median edge detector (MED) predictor is used to calculate the predicted value. Next, unlike previous methods, in our proposed method, signs of prediction errors (PEs) are represented by one bit plane and absolute values of PEs are represented by other bit planes. Then, we divide bit planes into uniform blocks and non-uniform blocks, and rearrange these blocks. Finally, according to different pixel prediction schemes, different numbers of additional data are embedded adaptively. The experimental results prove that our method has higher embedding capacity compared with state-of-the-art RDHEI methods.