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Phase diversity with undersampled systems via superresolution preprocessing |
Optics Letters, Vol. 37, Issue 13, pp. 2463-2465 (2012)
http://dx.doi.org/10.1364/OL.37.002463
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Abstract
Phase diversity algorithms allow a wavefront to be reconstructed from through-focus measurements of a point source or extended scene. These algorithms have traditionally been limited to systems that are Nyquist sampled. Many optical systems for remote sensing applications are designed to be undersampled, however. One approach to phase diversity with undersampled systems is to employ superresolution techniques to first create properly sampled scenes. This is demonstrated experimentally for a point object, but is applicable to extended scenes as well.
© 2012 Optical Society of America
OCIS Codes
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(100.5070) Image processing : Phase retrieval
(100.6640) Image processing : Superresolution
(110.3010) Imaging systems : Image reconstruction techniques
ToC Category:
Image Processing
History
Original Manuscript: January 24, 2012
Revised Manuscript: February 21, 2012
Manuscript Accepted: April 27, 2012
Published: June 19, 2012
Virtual Issues
Vol. 7, Iss. 9 Virtual Journal for Biomedical Optics
Citation
Eric A. Shields, "Phase diversity with undersampled systems via superresolution preprocessing," Opt. Lett. 37, 2463-2465 (2012)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-37-13-2463
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