摘要
为提高密文域可逆信息隐藏的嵌入容量,在秘密共享的基础上,提出一种可分离密文域可逆信息隐藏算法。该算法对原始图像进行位平面分割,并在密文低位平面上利用差值扩展算法嵌入数据,在密文高位平面上通过同态加法嵌入数据。接收者可分别对低位平面和高位平面解密,得到与原始图像近似的解密图像,同时,接收者还可直接在密文低位平面上提取数据,而在高位平面上解密后提取数据,并实现原始图像的可逆恢复。仿真实验结果表明,相比现有可分离算法,该算法具有较高的峰值信噪比,且平均嵌入率达到了0.3 BPP。
In order to improve the embedding capacity of reversible information hiding in encrypted domain,this paper proposes a separable reversible information hiding algorithm in encrypted domain based on secret sharing.Firstly,the original image is segmented according to the bit-planes.Then,the data is embedded into the low bit-planes of the encrypted data by using the Difference Expansion(DE)algorithm,and embedded into the high bit-planes by using homomorphic addition.The receiver decrypts the low bit-planes and high bit-planes respectively to obtain a decrypted image similar to the original image.Also,the receiver can extract data directly in the low bit-planes of the encrypted data,and extract data after the high bit-planes are decrypted,so as to realize the reversible recovery of the original image.Simulation results show that the proposed algorithm has a higher Peak Signal to Noise Ratio(PSNR)than the existing separable algorithms,and its average embedding rate reaches 0.3 BPP.
作者
周能
张敏情
林文兵
ZHOU Neng;ZHANG Minqing;LIN Wenbing(Key Laboratory of Network and Information Security Under Chinese People Armed Police Force (PAP),College of Cryptography Engineering,Engineering University of PAP,Xi’an 710086,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2020年第10期112-119,共8页
Computer Engineering
基金
国家自然科学基金“数字图像隐写检测关键特征的提取和优化理论研究”(61379152)
国家自然科学基金“基于加密过程的密文域可逆信息隐藏理论与方法研究”(61872384)。
关键词
信息安全
可逆信息隐藏
密文域
秘密共享
差值扩展
information security
reversible information hiding
encrypted domain
secret sharing
Difference Expansion(DE)
