Application of Wavefront Sensorless Methods to Shack-Hartmann Patterns for Wavefront Reconstruction: A Two-step Method for Single-Frame Phase Retrieval

Counter-acting image quality degradation caused by phase aberrations through physical correction requires the phase field to be known. As imaging hardware captures real-valued intensity, defined as the wave amplitude squared, obtaining this lost phase information is known as the phase retrieval problem and is a non-linear and non-convex...

Focal plane phase retrieval using deep convolutional neural networks: A study on the feasibility of phase retrieval in free space optical communications from a single out of focus intensity measurement using a deep convolutional neural network

Adaptive optics are widely used to correct the wavefront distortion imposed by atmospheric turbulence. Focal plane phase retrieval from intensity measurements has advantages due to the ease of implementation, potential broader application, less computations, low cost, high system bandwidth, simplified hardware and less calibration. To cope with...