基于最近邻像素预测的加密域可逆信息隐藏  

Reversible Data Hiding in Encrypted Images Based on Nearest Neighbor Pixel Prediction

作　　者：刘丽[1] 王世鹏 王安红[1] LIU Li;WANG Shi-peng;WANG An-hong(College of Electronic Information and Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学电子信息工程学院,太原030024

出　　处：《科学技术与工程》2023年第12期5152-5160,共9页Science Technology and Engineering

基　　金：国家自然科学基金(62072325);山西省基础研究计划(202103021224272);山西省回国留学人员科研资助项目(HGKY2019081);太原科技大学科研启动基金(20212039)。

摘　　要：针对现有的可逆信息隐藏算法在图像加密域应用场景下嵌入容量不高的问题,提出了一种基于最近邻像素预测的加密域可逆信息隐藏算法。充分利用自然图像的空间相关性,设计最近邻像素预测方法,计算预测误差,并进一步探究预测误差块分类规律,设计块内移位以及块重排方式,保留了块内相邻像素相关性。然后,通过动态标记块内误差区间以最大限度地空出冗余空间,达到提高嵌入容量的目的。选用5幅标准灰度图像及数据集BOSSbase、BOWS-2和UCID中的万余张灰度图像进行对比实验。结果表明:本文算法在安全性、可逆性和可分离性都满足的前提下,嵌入容量相比同类算法平均提升0.35~0.9 bpp(比特数)。Aiming at the problem that the embedding capacity of existing reversible data hiding scheme in encrypted image is not high,a reversible data hiding in encrypted images based on nearest neighbor pixel prediction was proposed.By making full use of the spatial correlation of natural images,the nearest neighbor pixel prediction method was designed,and the prediction error was calculated.Furthermore,the classification rule of prediction error blocks was further explored,and the intra-block shift and block rearrangement were designed to preserve the correlation of adjacent pixels within blocks.Then,the error range within the block was dynamically labeled to maximize the redundancy space,so as to improve the embedding capacity.Comparative experiments were carried out on five standard images and more than ten thousand gray images from public dataset BOSSbase,BOWS-2 and UCID.The experimental results show that the embedding capacity of the proposed scheme is improved by 0.35~0.9 bpp on average compared with similar algorithms under the premise that the security,reversibility and separability are satisfied.

关 键 词：可逆信息隐藏 预测误差 动态块标记 加密图像 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]