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随着图像数据量的激增及信息安全需求的提升，传统单图像加密方法在多图像并行传输中面临安全性与效率瓶颈.本文提出一种基于无干涉编码孔径相关全息的多图像混沌压缩双重加密方法，构建了一个物理与数字协同的双重加密体系.首先利用无干涉编码孔径相关全息成像构建前端物理加密层，通过记录图像的点扩散全息图实现初步加密，具备良好的抗物理攻击能力.随后在数字加密层中采用分块离散余弦变换对全息图进行能量压缩与稀疏化，并结合混沌系统生成的密钥序列与压缩感知理论实现次级加密，从而同时提高安全强度与压缩效率.仿真与实验结果证实了其在密钥空间规模、密钥敏感性、抗统计分析能力和鲁棒性方面的有效性，同时在多图像压缩效率方面可平均降低约30%的数据量，体现出明显的性能优势，适用于监控、医学成像等场景中的图像数据安全传输与存储.
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关键词:
- 多图像加密 /
- 无干涉编码孔径相关全息 /
- 压缩感知 /
- 混沌系统
To improve the security and efficiency of multi-image encryption, this paper proposes a hybrid encryption method that combines Interferenceless Coded Aperture Correlation Holography (I-COACH) with chaotic modulation and compressed sensing techniques. The method constructs a dual-layer encryption framework, integrating optical and digital processing to overcome the limitations of single-domain schemes.
In the optical layer, I-COACH is employed to encode multiple input images by recording their point spread holograms without interference, providing initial encryption and resistance against physical attacks. The resulting hologram is then processed using block-wise Discrete Cosine Transform (DCT) to achieve sparsity. Dual chaotic sequences perturb DCT coefficients to enhance key sensitivity and randomness. Finally, compressed sensing is applied to achieve secondary encryption while reducing the data volume by 30%, enabling efficient and secure storage or transmission. Experimental results demonstrate that the proposed method achieves an average Number of Pixels Change Rate (NPCR) of 99.44% and a Unified Average Changing Intensity (UACI) of 33.04% against differential attacks, with a ciphertext entropy of 7.9996 bit. Moreover, it exhibits excellent encryption performance in terms of key sensitivity, robustness, and resistance to statistical analysis. This method provides a practical solution for secure image application scenarios such as medical imaging and surveillance.-
Keywords:
- Multi-image encryption /
- Interferenceless Coded Aperture Correlation Holography /
- Compressed sensing /
- Chaotic systems
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