基于预测误差绝对值标记的加密图像可逆信息隐藏方法  

Reversible Data Hiding Method in Encrypted Images Based on Prediction Error Absolute Value Labeling

作　　者：顼聪[1] 朱毅[1] 陶永鹏[1] 王兴田 Xu Cong;Zhu Yi;Tao Yongpeng;Wang Xingtian(Dalian University of Foreign Language,Dalian 116044,China)

机构地区：[1]大连外国语大学,辽宁大连116044

出　　处：《南京师大学报（自然科学版）》2024年第4期126-134,共9页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：辽宁省教育厅科研项目(LJKMZ20221552)。

摘　　要：随着云计算的发展,加密图像可逆信息隐藏技术得到了越来越多研究者的关注,并广泛应用于司法、军事、医疗等领域.本文提出了一种基于预测误差绝对值标记的加密图像可逆信息隐藏算法.首先,使用中值边缘检测器获取原始图像像素预测值,并计算预测误差的绝对值;然后根据其二进制序列从最高有效位到最低有效位存在多个连续0值的分布状况,构建最优二叉树以生成自适应的哈夫曼编码;最后通过哈夫曼编码标记对应的预测误差绝对值像素,以腾出空间进行信息嵌入.实验结果表明:该算法能够实现信息的完整提取和图像的无损恢复,与同类算法相比,能够有效地提高图像机密信息的嵌入率.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.

关 键 词：加密图像 可逆信息隐藏 预测误差绝对值 哈夫曼编码 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]