中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1117/1.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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