隐藏信息的摄像头:将对象信息视觉隐藏在普通图像中
Bijie Bai1,2, Ryan Lee3, Yuhang Li1,2
1Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.
Science advances
|June 12, 2024
概括
我们使用深度学习和衍射光学处理器开发了一种新型隐藏信息的摄像头. 该系统安全地将图像隐藏在普通模式中,使其能够进行强大的重建,以实现先进的视觉信息安全.
科学领域:
- 光学和信息安全 信息安全
- 深度学习应用程序
- 衍射光学是不同的光学.
背景情况:
- 传统的信息隐藏方法往往缺乏稳定性和效率.
- 视觉信息安全是数字和物理领域日益关注的问题.
- 深度学习为复杂的模式识别和重建提供了强大的工具.
研究的目的:
- 为了引入一个新的隐藏信息的摄像头系统.
- 通过深度学习开发一个联合优化的光学编码器和电子解码器.
- 展示视觉信息安全的强大高效方法.
主要方法:
- 使用衍射光学处理器进行图像转换和隐藏.
- 采用深度学习来共同优化编码器和解码器.
- 设计和测试各种照明条件和噪音水平的摄像机.
- 扩大了用于同时隐藏多光谱信息的框架.
主要成果:
- 成功地将输入图像转化为欺骗性的,看起来平凡的模式.
- 使用电子解码器网络准确重建隐藏的信息.
- 证明了对不同灯光和噪音水平的坚固性.
- 实现不同波长的多个图像的同时隐藏和解码.
- 在实验中使用太赫兹辐射验证了框架.
结论:
- 拟议的光学编码器-电子解码器代码设计提供了一种高速,节能的信息隐藏摄像头.
- 这种方法为安全的视觉信息传输和存储提供了强大的解决方案.
- 该系统适应多谱运行和稳固性的适应性凸显了其多功能性.
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