Snapshot Wavefront Distortion Characterization Using Compressive Spectral Imagers

David Brady (Duke University), Ashwin Wagadarikar (Duke University), Kerkil Choi (Duke University)

Keywords: Adaptive Optics

Abstract:

Atmospheric turbulence produces variations in the index of refraction of air, which leads to wavelength dependent wavefront distortions in the pupil plane. These distortions degrade the quality of images of distant objects. The wavefront distortions modify the point spread function as a function of wavelength. We have previously demonstrated the utility of coded aperture snapshot spectral imagers (CASSI) to recovering a spatio-spectral datacube characterizing the scene by measuring a snapshot, coded projection of the datacube. Here we propose the use of a CASSI for snapshot characterization of atmospheric turbulence-induced wavefront distortions and the eventual recovery of an undistorted image. Wavelength dependent phase screens are simulated following the Kolmogorov model of atmospheric turbulence and preliminary ideas for using CASSI for joint estimation of the unknown wavefront distortions and object distribution are presented.

Date of Conference: September 16-19, 2008

Track: Adaptive Optics

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