Single-shot multi-wavelength imaging over scattering media enabled by deep learning

作者：Wenwen Li, Tuqiang Pan, Jiayi Yang, Zhanyuan Zhang, Yi Xu, Yuwen Qin · 发表于：Optics Letters · 年份：2025 · DOI：10.1364/ol.578473 · 被引用次数：2 · 研究领域：Advanced Optical Sensing Technologies、Random lasers and scattering media、Neural Networks and Reservoir Computing

Deep learning enables high-fidelity speckle imaging over scattering media in a single-shot manner. However, extending it to multi-wavelength scenarios remains challenging because coherent interference and dispersion effects complicate the training of deep the neural network (DNN). Herein, we propose a single-shot multi-wavelength scattering imaging approach leveraging a trained spectrum vision speckle network (SVSnet) to retrieve multi-wavelength images that are experimentally generated by multi-wavelength holography. The SVSnet is optimized to accelerate the training process and retrieve a multi-wavelength image with high fidelity simultaneously. Experimental results on three datasets demonstrate high retrieval fidelity over different multi-wavelength images. This approach also offers flexible wavelength adaptation, which can be generalized to other combinations of wavelengths.