期刊
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
卷 44, 期 -, 页码 116-127出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2017.01.022
关键词
Compressive sensing; Cryptography; Image compression; Image encryption; Parallel processing
资金
- National Natural Science Foundation of China [61472464, 61502399, 61572089, 61633005, 61672118]
- Natural Science Foundation of Chongqing Science and Technology Commission of China [cstc2013jcyjA40017, cstc2015jcyjA40039]
- Chongqing Graduate Student Research Innovation Projects of China [CYB14002]
- Fundamental Research Funds for the Central Universities of China [106112014CDJZR185501]
Recently, using compressive sensing (CS) as a cryptosystem has drawn attention due to its compressibility and low-complexity during the sampling process. However, when applying such cryptosystem to images, how to protect the privacy of the image while keeping efficiency becomes a challenge. In this paper, we propose a novel image coding scheme that achieves combined compression and encryption under a parallel compressive sensing framework, where both the CS sampling and the CS reconstruction are performed in parallel. In this way, the efficiency can be guaranteed. On the other hand, for security, the resistance to chosen plaintext attack (CPA) is realized with the help of the cooperation between a nonlinear chaotic sensing matrix construction process and a counter mode operation. Furthermore, the defect of energy information leakage in CS-based cryptosystem is also overcome by a diffusion procedure. Experimental and analysis results show the scheme achieves effectiveness, efficiency and high security simultaneously. (C) 2017 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据