Reversible Data Hiding Method in Encrypted Images Based on Prediction Error Absolute Value Labeling
With the development of cloud computing,reversible data hiding technology for encrypted images has attracted more and more attention from researchers and has been widely applied in the fields of justice,military,and medical treatment.This paper proposes an algorithm for reversible data hiding in encrypted images based on prediction error absolute value labeling.Firstly,the median edge detector is used to obtain the pixel prediction value of the original image and calculate the prediction error absolute value;Then,according to the distribution of multiple consecutive zeros in its binary sequence from the most significant bit to the least significant bit,the optimal binary tree is constructed to generate adaptive Huffman coding.Finally,the corresponding prediction error absolute value pixels are labeled by Huffman coding to make room for data embedding.Experimental results show that the algorithm can achieve complete data extraction and lossless image restoration,and can effectively improve the embedding rate of image confidential data compared with similar algorithms.
encrypted imagereversible data hidingprediction error absolute valueHuffman coding
万方数据
维普
