Computational super-resolution imaging with multimode fiber using optimized illuminations

Abstract

Imaging through a multimode fiber (MMF) with a spatial-resolution beyond the diffraction limit has recently been demonstrated using computational super-resolution methods. We performed a modelling study to assess the performance of a compressed image reconstruction algorithm, Basis Pursuit, using different illuminations. In addition to the increased speed due to the reduced number of measurements, we characterized other potential benefits with respect to robustness to noise and resilience to fiber bending when using compressed imaging with optimized illuminations.