Imaging through turbulence using compressive coherence sensing.
Previous studies have shown that the isoplanatic distortion due to turbulence and the image of a remote object may be jointly estimated from the 4D mutual intensity across an aperture. This Letter shows that decompressive inference on a 2D slice of the 4D mutual intensity, as measured by a rotational shear interferometer, is sufficient for estimation of sparse objects imaged through turbulence. The 2D slice is processed using an iterative algorithm that alternates between estimating the sparse objects and estimating the turbulence-induced phase screen. This approach may enable new systems that infer object properties through turbulence without exhaustive sampling of coherence functions.
Wagadarikar
Ashwin A
AA
Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA.
Marks
Daniel L
DL
Choi
Kerkil
K
Horisaki
Ryoichi
R
Brady
David J
DJ