Intra-Block Correlation Based Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

In this paper, a high capacity reversible data hiding technique using parametric binary tree labeling scheme is proposed. The proposed used to label plaintext image’s pixels as two different categories, regular and irregular pixels, through symmetric or asymmetric process. Regular are only utilized for secret payload embedding whereas not utilized. efficiently exploits intra-block correlation, based on the prediction mean of block by symmetry asymmetry. Further, method utilizes blocks that selected their pixel correlation rather than exploiting all embedding. addition, enhances encryption performance employing standard techniques, unlike other in encrypted images. Experimental results show maximizes rate comparison state-of-the-art images, while preserving privacy original contents.