基于灰度熵空间压缩的可逆信息隐藏方法  

Reversible Information Hiding Method Based on Gray Entropy Space Compression

作　　者：卿海军 黄寄洪 龚平 QING Haijun;HUANG Jihong;GONG Ping(School of Big Data and Software Engineering,Wuzhou University,Wuzhou 543002)

机构地区：[1]梧州学院大数据与软件工程学院,梧州543002

出　　处：《计算机与数字工程》2022年第11期2554-2556,2593,共4页Computer & Digital Engineering

基　　金：广西科技重大专项(编号:桂科AA18118036);广西科技计划项目(编号:2018GXNSFBA281173)资助。

摘　　要：针对图像在嵌入信息后不影响原图像质量,并要求嵌入信息后图像可还原的问题,以及提高嵌入信息容量的问题,论文提出了基于灰度熵空间压缩的可逆信息隐藏方法。利用图像的实际灰度熵空间要小于全部的灰度熵空间,从而在图像中对所有像素重新编码,并用新的编码和附加的嵌入信息替换原来像素的较低位。实验结果表明,在保证较理想的信噪比的情况下,能较大幅度提高嵌入信息的容量,平均嵌入信息容量可提高50%左右。In order to improve the original image quality after embedded information and improve embedded information capacity,a reversible image information embedded algorithm is proposed based on gray entropy space compression.The algorithm makes use of gray entropy space of the image is smaller than the whole gray entropy space,so all of the image pixels is coded again,the low space of the pixels is replaced by the new coded information and the embedded information.The experimental results show that the algorithm can improve the capacity of the embedded information with ideal signal-to-noise ratio.The average information embedding capacity can be increased by about 50%.

关 键 词：可逆信息隐藏 熵空间 信噪比 图像 隐藏容量 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]