4.5 Article

Exploiting optical chaos for double images encryption with compressive sensing and double random phase encoding

期刊

OPTICS COMMUNICATIONS
卷 484, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.optcom.2020.126683

关键词

Optical chaos; Double images encryption; Compressive sensing; Double random phase encoding; Equal modulus decomposition

类别

资金

  1. Natural Science Foundation of Chongqing City, China [cstc2016jcyjA0581]
  2. Postdoctoral Science Foundation of China [2016M590875]
  3. Fundamental Research Funds for the Central Universities, China [XDJK2018B012]

向作者/读者索取更多资源

An asymmetric double color image cryptosystem based on optical chaos technology, incorporating CS, DRPE, and optical chaos technology, is proposed in this study. The system provides multi-layer protection and resistance to various attack methods, ensuring enhanced security for images.
Images as a common information carrier are widely disseminated and used at present, meanwhile, image security and privacy protection are also facing severe tests. To enhance the security of images, an asymmetric double color images cryptosystem introduced optical chaos technology is proposed based on compression sensing (CS) and double random phase encoding (DRPE). It is the first time that the combination of CS, DRPE and optical chaos technology is demonstrated to the best of our knowledge. By means of the optical chaos keys generated by a constructed optical chaos model, the two color images are first decomposed into their respective Red-Green-Blue (RGB) channels, CS based on discrete wavelet transform is then performed for the first encryption. Afterwards, the second encrypion of DRPE in fractional Fourier transform domain (FrFT) with optical chaos technology is also used, and the asymmetric encryption by carrying out equal modulus decomposition (EMD) with optical chaos keys further enhance the security finally. Simulation results and security analysis confirm that the cryptosystem owns multi-layer protection and adequate resistance to brute force attack, statistical attack, differential attack, noise attack and chosen-plaintext attack, which is efficient and capable of guaranteeing the security of images and can provide an alternative solution for image security and privacy protection.

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