Hartmann–Shack and Diffuser-Based Speckle Test Datasets for Wavefront Sensing using Deep Learning

This repository contains the simulated and experimental test datasets used to evaluate the deep learning-based wavefront reconstruction methods presented in the manuscript. The datasets include images acquired using two optical sensing modalities: a Hartmann–Shack sensor (HSS) and diffuser-based speckle patterns. Each image is paired with the 18 Zernike coefficients corresponding to the imposed wavefront. Contents Exp_SHS_Test: Experimental Hartmann–Shack test images acquired using a visual simulator with active optics. Exp_Speckle_Test: Experimental diffuser-based speckle test images acquired simultaneously with the Hartmann–Shack images. Sim_SHS_Test: Simulated Hartmann–Shack test images generated using a virtual optical system. Sim_Speckle_Test: Simulated diffuser-based speckle test images generated using a virtual optical system.