Compressive sensing based robust multispectral double-image encryption
文献类型：期刊论文
| 作者 | Rawat, Nitin; Kim, Byoungho; Muniraj, Inbarasan; Situ, G.; Lee, Byung-Geun |
| 刊名 | appl. optics
 |
| 出版日期 | 2015 |
| 卷号 | 54期号:7页码:1782 |
| 通讯作者 | lee, bg (reprint author), gwangju inst sci & technol, sch math, kwangju 500712, south korea. |
| 英文摘要 | we demonstrate a multispectral double-image-based cryptosystem that exploits only a tiny number of random white noise samples for proper decryption. primarily, one of the two downsampled images is converted into the phase function after being shuffled by arnold transform (at), while the other image is modulated as an amplitude-based image after at. consecutively, a full double-image encryption can be achieved by employing classical double random phase encryption (drpe) technique in the fractional fourier transform domain with corresponding fractional orders. in this study, the encrypted complex data is randomly sampled via compressive sensing (cs) framework by which only 25% of the sparse white noise samples are being reserved to realize decryption with zero or small errors. as a consequence, together with correct phase keys, fractional orders and proper inverse at operators, lp minimization must be utilized to decrypt the original information. thus, in addition to the perfect image reconstruction, the proposed cryptosystem provides an additional layer of security to the conventional drpe system. both the mathematical and numerical simulations were carried out to verify the feasibility as well as the robustness of the proposed system. the simulation results are presented in order to demonstrate the effectiveness of the proposed system. to the best of our knowledge, this is the first report on integrating cs with encrypted complex samples for information security. (c) 2015 optical society of america |
| 收录类别 | SCI |
| 语种 | 英语 |
| 版本 | 出版稿 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/14160]  |
| 专题 | 上海光学精密机械研究所_信息光学与光电技术实验室 |
| 作者单位 | 1.[Rawat, Nitin 2.Lee, Byung-Geun] Gwangju Inst Sci & Technol, Sch Math, Kwangju 500712, South Korea 3.[Kim, Byoungho] Broadcom Corp, Irvine, CA 92617 USA 4.[Muniraj, Inbarasan] Univ Coll Dublin, Sch Elect Elect & Commun Engn, Dublin, Ireland 5.[Situ, G.] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Shanghai 201800, Peoples R China |
| 推荐引用方式 GB/T 7714 | Rawat, Nitin,Kim, Byoungho,Muniraj, Inbarasan,et al. Compressive sensing based robust multispectral double-image encryption[J]. appl. optics,2015,54(7):1782. |
| APA | Rawat, Nitin,Kim, Byoungho,Muniraj, Inbarasan,Situ, G.,&Lee, Byung-Geun.(2015).Compressive sensing based robust multispectral double-image encryption.appl. optics,54(7),1782. |
| MLA | Rawat, Nitin,et al."Compressive sensing based robust multispectral double-image encryption".appl. optics 54.7(2015):1782. |
入库方式： OAI收割
来源：上海光学精密机械研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。