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.
© 2010 Optical Society of America
Original Manuscript: December 3, 2009
Revised Manuscript: February 4, 2010
Manuscript Accepted: February 5, 2010
Published: March 12, 2010
Ashwin A. Wagadarikar, Daniel L. Marks, Kerkil Choi, Ryoichi Horisaki, and David J. Brady, "Imaging through turbulence using compressive coherence sensing," Opt. Lett. 35, 838-840 (2010)