Nonlinear virtual lens for programmable and multispectral infrared upconversion imaging
Ze Zheng, Olga Sergaeva, Davide Rocco, Yuchen Zhang, Guoquan Zhang, Mohsen Rahmani, Costantino De Angelis, Lei Xu

TL;DR
This paper introduces a nonlinear virtual lens system for programmable, multispectral infrared upconversion imaging that enables tunable focus and bandwidth, allowing direct visible imaging of IR signals with a standard camera.
Contribution
It presents a novel adaptive IR-to-visible imaging platform using sum-frequency generation and a spatial light modulator to achieve tunable bandwidth and focus in IR imaging.
Findings
Demonstrated tunable focal length via wavelength variation
Achieved programmable multispectral focusing
Enabled direct IR image visualization with visible cameras
Abstract
Conventional infrared (IR) imaging techniques depend on IR cameras based on narrow-bandgap semiconductors, which offer limited spectral bandwidth, coupled with a separate lens. Recently, advances in nonlinear flat optics have opened a novel pathway for converting IR signals into the visible through nonlinear generations, enabling the direct visualisation of IR images using standard visible cameras. However, the narrow spectral bandwidth and the requirement for an additional lens remain the key challenges. Here, we address both issues via a novel adaptive and multifunctional IR-to-visible imaging platform offering tunable bandwidth and focusing simultaneously. We utilise sum-frequency generation (SFG) to convert IR light into the visible, by introducing a pump beam modulated by a spatial light modulator (SLM) to construct a virtual metalens enabling precisely controlled focusing of the…
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Taxonomy
TopicsMetamaterials and Metasurfaces Applications · Photorefractive and Nonlinear Optics · Solid State Laser Technologies
