Imaging through turbulence using compressive coherence sensing.

dc.contributor.author

Wagadarikar, Ashwin A

dc.contributor.author

Marks, Daniel L

dc.contributor.author

Choi, Kerkil

dc.contributor.author

Horisaki, Ryoichi

dc.contributor.author

Brady, David J

dc.coverage.spatial

United States

dc.date.accessioned

2011-06-21T17:27:42Z

dc.date.issued

2010-03-15

dc.description.abstract

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.

dc.description.version

Version of Record

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/20237616

dc.identifier

196576

dc.identifier.eissn

1539-4794

dc.identifier.uri

https://hdl.handle.net/10161/4230

dc.language

eng

dc.language.iso

en_US

dc.publisher

The Optical Society

dc.relation.ispartof

Opt Lett

dc.relation.journal

Optics Letters

dc.title

Imaging through turbulence using compressive coherence sensing.

dc.title.alternative
dc.type

Journal article

duke.date.pubdate

2010-3-15

duke.description.issue

6

duke.description.volume

35

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/20237616

pubs.begin-page

838

pubs.end-page

840

pubs.issue

6

pubs.organisational-group

Duke

pubs.organisational-group

Electrical and Computer Engineering

pubs.organisational-group

Pratt School of Engineering

pubs.publication-status

Published

pubs.volume

35

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