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Multiple-input ghost imaging via sparsity constraints |
JOSA A, Vol. 29, Issue 8, pp. 1571-1579 (2012)
http://dx.doi.org/10.1364/JOSAA.29.001571
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Abstract
Usually the test detector of a standard ghost imaging scheme is a bucket detector; here the test detector in the scheme of multiple-input ghost imaging via sparsity constraints (MI-GISC) we proposed is characterized by some sparse-array single-pixel detectors, and the propagation process between the object plane and the test detection plane is also considered. Combining ghost imaging with the target’s sparsity constraints, the theory and reconstruction of MI-GISC are investigated. The property and differences between MI-GISC and compressive ghost imaging (CGI) are studied theoretically and backed up by numerical simulations. MI-GISC can be applied in a remote imaging system with a small receiving numerical aperture, improving the reconstruction’s quality of the target.
© 2012 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(110.2990) Imaging systems : Image formation theory
(270.0270) Quantum optics : Quantum optics
ToC Category:
Image Processing
History
Original Manuscript: May 1, 2012
Manuscript Accepted: June 4, 2012
Published: July 18, 2012
Citation
Wenlin Gong and Shensheng Han, "Multiple-input ghost imaging via sparsity constraints," J. Opt. Soc. Am. A 29, 1571-1579 (2012)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-29-8-1571
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