Speckle Reconstruction with Corruption through Multimode Fibers Using Deep Learning

We present for the first time a deep learning approach toward speckle reconstruction with corruption through a multimode fiber (MMF) with a long length. Our experiments demonstrate that a small partly or randomly corrupted speckle can be reconstructed into its intact speckle over a 1km 100pm-core step-index MMF.