基于改进PVO自适应嵌入的加密域图像可逆信息隐藏方法  

Reversible Information Hiding Method of Encrypted Image Based on Improved PVO Adaptive Embedding

作　　者：侯思祖[1] 马红月 项洪印[1] HOU Sizu;MA Hongyue;XIANG Hongyin(School of Electrical&Electronic Engineering,North China Electric Power University,Baoding 071003)

机构地区：[1]华北电力大学电气与电子工程学院,保定071003

出　　处：《计算机与数字工程》2021年第10期2088-2095,共8页Computer & Digital Engineering

基　　金：国家重点研发计划项目(编号:2018YFF01011900)资助。

摘　　要：针对加密图像像素间相关性小,嵌入数据困难等问题,提出了一种基于改进PVO自适应嵌入的加密域图像可逆信息隐藏方法。首先将加密图像进行分块处理,所有图像块依据块复杂度自适应地分为多个等级,图像块所在等级越高,所能嵌入数据的容量越大;并对块内像素根据灰度值大小进行升序排列,然后根据排序结果和图像块所在等级确定中间若干位置像素值作为目标像素,目标像素预测分块内其他像素;最后,预测结果根据相关性强度自适应地嵌入秘密信息。实验结果证明此方法具有较好的嵌入质量和嵌入容量。Aiming at the problems of low correlation,low redundancy and difficult data embedding in arnold scrambled encrypted image,this paper proposes a reversible information hiding algorithm in encrypted domain based on pixel prediction and sorting technology.The content owner uses arnold scrambling encryption algorithm to encrypt the non-overlapping blocks.Then every block is scrambled to get the encrypted images.The information hider uses the same block method to encrypt the image,according to the gray value arranged the block image in ascending order,takes the size of the pixel value in the middle position as the target pixel,and other pixels as the reference pixel in the block.The reference pixel embeds secret information hierarchically according to the smoothness of the image block.The information receiver extracts the information from the image containing secret information and uses the encrypted secret to get the original image.The experimental results show that this method has good embedding quality and capacity.

关 键 词：自适应嵌入 像素预测和排序 等级划分 块复杂度 可逆信息隐藏 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]