Compressive image encryption with customized key based on phase retrieval
文献类型:期刊论文
作者 | Di, Hong1; Zhang, Xin2,3![]() |
刊名 | OPTICAL ENGINEERING
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出版日期 | 2017-02-01 |
卷号 | 56期号:2 |
关键词 | Image Encryption Phase Retrieval Error Reduction Algorithm Image Processing |
DOI | 10.1117/1.OE.56.2.023103 |
文献子类 | Article |
英文摘要 | Recently, image encryption has been significantly improved by methods originating from optics. Phase retrieval is one method potentially applicable to image encryption. It is the process of algorithmically finding solutions to a phase loss problem due to light detectors only capturing the intensity of lights. Because the phase retrieval can constrain information to the phase with a specified condition, we propose using it to encrypt an image and compress it as phase information simultaneously. Moreover, the encryption will involve a customized key known only to authorized users. The encryption strategy provides dual protection of the encrypted image from unauthorized access. Experiments have been conducted to demonstrate the performance of the encryption method. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) |
WOS关键词 | ALGORITHMS |
WOS研究方向 | Optics |
语种 | 英语 |
WOS记录号 | WOS:000397206800004 |
资助机构 | Natural Science Foundation of China(31571003 ; Fundamental Research Funds for the Central Universities(3262015T70) ; U1636121 ; U1536207) |
源URL | [http://ir.ia.ac.cn/handle/173211/14417] ![]() |
专题 | 自动化研究所_脑网络组研究中心 |
作者单位 | 1.Univ Int Relat, Dept Informat Sci & Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Di, Hong,Zhang, Xin. Compressive image encryption with customized key based on phase retrieval[J]. OPTICAL ENGINEERING,2017,56(2). |
APA | Di, Hong,&Zhang, Xin.(2017).Compressive image encryption with customized key based on phase retrieval.OPTICAL ENGINEERING,56(2). |
MLA | Di, Hong,et al."Compressive image encryption with customized key based on phase retrieval".OPTICAL ENGINEERING 56.2(2017). |
入库方式: OAI收割
来源:自动化研究所
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