Bai Bijie, Lee Ryan, Li Yuhang, Gan Tianyi, Wang Yuntian, Jarrahi Mona, Ozcan Aydogan
Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA.
California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095, USA.
Sci Adv. 2024 Jun 14;10(24):eadn9420. doi: 10.1126/sciadv.adn9420. Epub 2024 Jun 12.
We introduce an information-hiding camera integrated with an electronic decoder that is jointly optimized through deep learning. This system uses a diffractive optical processor, which transforms and hides input images into ordinary-looking patterns that deceive/mislead observers. This information-hiding transformation is valid for infinitely many combinations of secret messages, transformed into ordinary-looking output images through passive light-matter interactions within the diffractive processor. By processing these output patterns, an electronic decoder network accurately reconstructs the original information hidden within the deceptive output. We demonstrated our approach by designing information-hiding diffractive cameras operating under various lighting conditions and noise levels, showing their robustness. We further extended this framework to multispectral operation, allowing the concealment and decoding of multiple images at different wavelengths, performed simultaneously. The feasibility of our framework was also validated experimentally using terahertz radiation. This optical encoder-electronic decoder-based codesign provides a high speed and energy efficient information-hiding camera, offering a powerful solution for visual information security.
我们介绍了一种集成了电子解码器的信息隐藏相机，该相机通过深度学习进行联合优化。该系统使用衍射光学处理器，它将输入图像转换并隐藏为看似普通的图案，从而欺骗/误导观察者。这种信息隐藏变换对于无限多种秘密消息组合都是有效的，这些秘密消息通过衍射处理器内的被动光-物质相互作用被转换为看似普通的输出图像。通过处理这些输出图案，电子解码器网络能够准确地重建隐藏在欺骗性输出中的原始信息。我们通过设计在各种光照条件和噪声水平下运行的信息隐藏衍射相机展示了我们的方法，证明了它们的鲁棒性。我们进一步将此框架扩展到多光谱操作，允许同时对不同波长的多个图像进行隐藏和译码。我们框架的可行性也通过太赫兹辐射进行了实验验证。这种基于光学编码器-电子解码器的协同设计提供了一种高速且节能的信息隐藏相机，为视觉信息安全提供了一个强大的解决方案。
