使用单数值分解对3D光学加密进行压缩
Kyungtae Park1, Min-Chul Lee2, Myungjin Cho1
1School of ICT, Robotics, and Mechanical Engineering, IITC, Hankyong National University, 327 Chungang-ro, Anseong 17579, Republic of Korea.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了单值分解 (SVD) 用于压缩光学加密数据,提高效率和安全性. 卷度重建可以最大限度地减少信息丢失,提高解密图像的质量.
科学领域:
- 光学和光子学 在光学和光子学.
- 信息安全 信息安全
- 图像处理 图像处理
背景情况:
- 双随机相位加密 (DRPE) 是一种光学加密技术.
- DRPE生成与输入相同大小的加密数据,导致数据效率低.
- 需要一种压缩方法来提高DRPE的效率.
研究的目的:
- 建议使用单值分解 (SVD) 进行光学加密的新型压缩方法.
- 提高DRPE的数据效率,视觉质量和安全性.
- 为了减轻压缩过程中的信息损失,使用体积计算重建.
主要方法:
- 单值分解 (SVD) 用于数据压缩.
- 基于整体成像的体积计计算重建用于减少信息丢失.
- 提出的方法通过计算机模拟和光学实验来验证.
主要成果:
- 拟议的基于SVD的压缩有效地减少了加密数据的大小.
- 卷度重建显著提高了解密数据的视觉质量.
- 该方法同时提高了DRPE的压缩比,视觉质量和安全性.
结论:
- 将SVD与DRPE集成为高效和安全的光学加密提供了一个有希望的方法.
- 卷度计算重建在压缩后有效地保护数据完整性.
- 与传统的DRPE相比,拟议的方法实现了压缩,质量和安全的优越平衡.
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