摘要
针对目前密文图像可逆信息隐藏算法容量较小的缺点,通过引入云计算服务,基于矩阵的奇异值分解,提出了一种面向云计算安全应用的密文图像可逆信息隐藏算法。该算法利用云端强大的计算和存储能力,对密文图像的某些比特平面(LSB-planes)进行奇异值分解,并存储产生的恢复字典,然后将信息直接嵌入奇异值矩阵中。实验结果表明,该算法在保证图像隐私安全和图像失真度很低的前提下,在嵌入容量上有明显提高,提取信息后图像能够完全恢复,并且信息提取与图像恢复可分离。与其他算法相比,该算法具有更高的嵌入容量。
Aiming at the low capacity of reversible data-hiding algorithm in encrypted images, by introducing the cloud computing service, and based on the singular value decomposition of matrix, this paper proposed a reversible data-hiding algorithm in encrypted image for security application in cloud computing. This algorithm utilized the powerful computing and storage of cloud to complete the singular value decomposition of some selected planes of the cipher image, stored the recovery dictionary generated, and directly embedded the information into the singular value matrix. Experimental results show that under the precondition of ensured image privacy security and higher image fidelity, the embedding capacity is significantly improved, images can be fully recovered after information extraction, aud information extraction and image restoration are separable. Compared with other algorithms, it has higher embedding capacity.
出处
《计算机应用研究》
CSCD
北大核心
2015年第12期3702-3705,3713,共5页
Application Research of Computers
基金
应急通信重庆市重点实验室(重庆通信学院)开放课题资助项目(CQKLEC
20140504)
国家自然科学基金资助项目(61272043
61302161
61472464
61572089)
重庆市基础科学与前沿技术研究专项资助项目(cstc2012jj A40017
cstc2013jcyj A40017
cstc2013jj B40009
cstc2015jcyj A40039)
中央高校基本科研业务费资助项目(106112013CDJZR180005
106112014CDJZR185501)
关键词
密文图像
可逆信息隐藏
云计算
奇异值分解
可分离
cipher image
reversible data-hiding
cloud computing
singular value decomposition
separable