摘要: |
目的 研究解决多图像的关联成像加密问题。方法 采用双重QR编码处理,将多图像的关联成像加密问题转变为单个QR码图像的关联成像问题。结果 QR码作为关联成像的成像物体,能在远低于传统关联成像采样率的条件下重构出清晰的图像,实现信息的高质量恢复。结论 在保证图像质量的情况下,该算法的安全性较高,能有效抵抗一定的噪声攻击和统计分析攻击,并极大地减少了加密系统对多图像的加密成本。 |
关键词: 关联成像 QR码 信息熵 |
DOI:10.19554/j.cnki.1001-3563.2018.17.038 |
分类号:TP751 |
基金项目: |
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Optical Encryption Mechanism of Multi-image Correlated Imaging Algorithm Based on QR Code |
ZHANG Lei-hong, ZHAN Wen-jie, ZENG Xi, KANG Yi, FAN Li-ping, ZENG Li-wang
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University of Shanghai for Science and Technology, Shanghai 200093, China
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Abstract: |
The work aims to study and solve the problem of multi-image correlated imaging encryption. Double-QR coding was used to transform the multi-image correlated imaging encryption problem into the problem of a single QR code correlated imaging encryption. As imaging objects of correlated imaging, QR code could reconstruct clear images under the condition of being far lower than the sampling rate of traditional correlated imaging, and achieve the high quality information recovery. Under the condition of ensuring the image quality, the algorithm has higher security, can effectively resist the attacks of certain noise and statistical analysis, and greatly reduces the encryption cost of the encryption system for multiple images. |
Key words: correlated imaging QR code information entropy |