Multiple-image encryption based on double random phase encoding and compressive sensing by using a measurement array preprocessed with orthogonal-basis matrices

Multiple-image encryption based on double random phase encoding and compressive sensing by using a measurement array preprocessed with orthogonal-basis matrices
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DOI:
10.1016/j.optlastec.2018.03.004
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发表时间:
2018-09
影响因子:
5
通讯作者:
Luo-zhi Zhang;Yuanyuan Zhou;Dongming Huo;Jinxi Li;Xin Zhou
Luo-zhi Zhang;Yuanyuan Zhou;Dongming Huo;Jinxi Li;Xin Zhou
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Luo-zhi Zhang;Yuanyuan Zhou;Dongming Huo;Jinxi Li;Xin Zhou

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提出了一种基于双随机相位编码的正交编码与压缩感知相结合的多幅图像加密方法。作为一种新颖的光学加密思想,本文从理论上进行了论证,并利用正交基矩阵构造了修正的测量阵列,将其投影到图像上。在该方法中,所有的图像可以被并行压缩成一个随机信号,并被扩散成一个平稳的白噪声。同时,通过分块重建而不是整体重建,通过采用适当的解密密钥组合,可以分别重建每一幅图像,大大降低了数据开销和解密时间,在多用户多路传输和巨幅图像加解密中都有很好的应用前景。此外,利用密钥的位长来表征该方法的安全性,并对其并行性进行了研究。利用一系列的采样率、遮挡攻击、不同误码率的密钥等对解密效果以及相关系数进行了仿真和讨论。
A method is presented for multiple-image encryption by using the combination of orthogonal encoding and compressive sensing based on double random phase encoding. As an original thought in optical encryption, it is demonstrated theoretically and carried out by using the orthogonal-basis matrices to build a modified measurement array, being projected onto the images. In this method, all the images can be compressed in parallel into a stochastic signal and be diffused to be a stationary white noise. Meanwhile, each single-image can be separately reestablished by adopting a proper decryption key combination through the block-reconstruction rather than the entire-rebuilt, for its costs of data and decryption time are greatly decreased, which may be promising both in multi-user multiplexing and huge-image encryption/decryption. Besides, the security of this method is characterized by using the bit-length of key, and the parallelism is investigated as well. The simulations and discussions are also made on the effects of decryption as well as the correlation coefficient by using a series of sampling rates, occlusion attacks, keys with various error rates, etc.