1.Institute of Electromagnetics and Acoustics, Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen, China
2.Key Laboratory of Photonic Technology for Integrated Sensing and Communication, Ministry of Education of China, Guangdong University of Technology, Guangzhou, China
3.Institute of Advanced Photonics Technology, School of Information Engineering, Guangdong University of Technology, Guangzhou, China
4.Department of Physics, Xiamen University, Xiamen, China
5.Institute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University, Guangzhou, China
6.Shenzhen Research Institute of Xiamen University, Shenzhen, China
7.Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen, China
Yi Xu (yixu@gdut.edu.cn)
Xiangping Li (xiangpingli@jnu.edu.cn)
Jin-hui Chen (jimchen@xmu.edu.cn)
收稿:2025-04-14,
修回:2026-01-23,
录用:2026-01-27,
网络首发:2026-03-09,
纸质出版:2026-05-31
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Sheng-ke Zhu, Tuqiang Pan, Chao-xian Tang, 等. Upconversion optical entropy encoding for infrared complex-amplitude imaging[J]. Light: Science & Applications, 2026,15(5):1725-1735.
Zhu, S.-K. et al. Upconversion optical entropy encoding for infrared complex-amplitude imaging. Light: Science & Applications, 15, 1725-1735 (2026).
Sheng-ke Zhu, Tuqiang Pan, Chao-xian Tang, 等. Upconversion optical entropy encoding for infrared complex-amplitude imaging[J]. Light: Science & Applications, 2026,15(5):1725-1735. DOI: 10.1038/s41377-026-02215-7.
Zhu, S.-K. et al. Upconversion optical entropy encoding for infrared complex-amplitude imaging. Light: Science & Applications, 15, 1725-1735 (2026). DOI: 10.1038/s41377-026-02215-7.
Upconversion detection of infrared radiation by cost-effective silicon photodetectors in visible bands has spurred a revolution in infrared imaging technology
unlocking a wide range of applications in biological imaging
optical spectroscopy
and optical data storage. Despite significant progress in upconversion detection
real-time
concurrent
complex-amplitude imaging of both phase and amplitude information
indispensable for disclosing the full signature of infrared scenes
remains a daunting challenge
impeding their widespread applications. By integrating the unique advantages of both coherent and incoherent approaches
we propose the concept of upconversion optical entropy encoding and demonstrate a video-rate infrared complex-amplitude imaging system. This is achieved by leveraging the synergistic int
eraction between light scattering in disordered photonic structures and lanthanide upconversion photoluminescence. By tailoring the information entropy of upconversion speckles
infrared light-field information can be captured in a single visible snapshot and explicitly reconstructed
assisted by a deep learning network
enabling infrared complex-amplitude imaging at a video rate of 25 frames per second (fps) and with high-fidelity 8-bit grayscale modulation. The high photosensitivity of the developed infrared imaging system enables a power detection limit of 0.2 nW μm
−2
three orders of magnitude lower than that of conventional parametric upconversion imaging. As a proof of concept
we demonstrate its applications in capturing video frames of natural scene images and classifying images of speed-limit signs for autonomous driving. This approach can be readily integrated with other cross-band imaging methods
paving the way for various infrared application scenarios that require video-rate
high-photosensitivity
and high-fidelity protocols.
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