基于高7 bit平面嵌入的灰度图像可逆数据隐藏算法  

Gray image reversible data hiding based on high 7 bit planes embedding

作　　者：刘云霄 刘子龙[1] 齐爱琴[1] Liu Yunxiao;Liu Zilong;Qi Aiqin(School of Mathematics ＆ Computer Science,Northwest Minzu University,Lanzhou 730030,Chin)

机构地区：[1]西北民族大学数学与计算机科学学院,兰州730030

出　　处：《计算机应用研究》2018年第6期1808-1811,共4页Application Research of Computers

基　　金：中央高校基本科研业务费专项经费立项资助项目(31920150085)

摘　　要：现有基于直方图平移的可逆数据隐藏算法都致力于提高嵌入率,而忽略了算法所产生边界图的大小;数量较大的边界图将不能有效存储进而影响算法的实施。对现有典型算法存在的这一问题进行分析,并给出了解决方法。提出了基于高7 bit平面嵌入的灰度图像可逆数据隐藏算法。与传统可逆数据隐藏算法使用全部位平面进行数据嵌入不同,所提出的算法使用高7 bit平面当做数据载体。由高7 bit平面构成的载体图像具有像素值分布更加集中的特点,因而使用该载体图像进行可逆数据嵌入能够有效地控制边界图大小并且明显地提高嵌入率。实验结果表明,所提出的算法在提高嵌入率的同时,还能使嵌入附加数据的图像具有高的峰值信噪比值。The existing histogram shifting based reversible data hiding algorithms were all aimed at improving the embedding rate,however,they ignored the size of the boundary map; a large amount of boundary map couldn＇t be stored,and influenced the implementation of the algorithm. This paper analyzed this problem according to an existing typical reversible data hiding algorithm,and found a way to solve it. Finally,this paper proposed a high 7 bit planes embedding based gray image reversible data hiding algorithm; different from the traditional reversible data hiding algorithm that used all bit planes to embed data,the proposed algorithm used high 7 bit planes as data carrier. Because the carrier image that composed by high 7 bit planes had the feature of gray value distribution concentration,using it to embed data could obviously control the size of boundary map and enhanced the embedding rate. The experiment results show that the proposed algorithm can improve the embedding rate,and it also can make the image with additional data has a high peak signal to noise ratio value.

关 键 词：可逆数据隐藏 边界图 高7 bit平面 

分 类 号：TP309[自动化与计算机技术—计算机系统结构] TP301.6[自动化与计算机技术—计算机科学与技术]