Compared with single-mode fibers (SMFs), multimode fibers (MMFs) can support a much larger number of guided modes, offering the attractive advantage of high-capacity information and image transportation. We propose a physics-informed deep learning framework for efficient wavelength-multiplexed image transmission through multimode fiber. Experimental results demonstrate its potential for preserving high-fidelity information transfer while ensuring robustness and high resolution in multimode fiber. Multimode fibers with high information capacity and ultra-thin diameter offer new possibilities for non-invasive endoscopy and remote high-speed secure communication. To overcome this challenge we present a deep learning approach that generalizes over mechanical perturbations.
The real-time transmission of images through a multimode fiber (MMF) is still a challenging research work. One method completes image transmission by measuring and controlling the full complex field o.
Contact us for competitive quotes on any of our fiber optic and telecom products
Get a Quote