Deep Learning Estimation of Modified Zernike Coefficients from Multispectral Imagery in Turbulence

Abstract

We demonstrate that the performance of a deep learning model to estimate modified Zernike coefficients of pupil aberrations from short exposure turbulence-degraded images can be significantly improved with the use of multispectral images.