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Enhanced geometrical superresolved imaging with moving binary random mask |
JOSA A, Vol. 28, Issue 4, pp. 566-575 (2011)
http://dx.doi.org/10.1364/JOSAA.28.000566
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Abstract
In this paper, we address the geometrical resolution limitation of an imaging sensor caused by the size of its pixels yielding insufficient spatial sampling of the image. The spatial blurring that is caused due to inadequate sampling can be resolved by placing a two-dimensional binary random mask in an intermediate image plane and shifting it along one direction while keeping the sensor as well as all other optical components fixed. Out of the set of images that are captured, a high resolution image can be decoded. In addition, this approach allows improved robustness to spatial noise.
© 2011 Optical Society of America
OCIS Codes
(100.6640) Image processing : Superresolution
(110.3010) Imaging systems : Image reconstruction techniques
ToC Category:
Image Processing
History
Original Manuscript: September 28, 2010
Revised Manuscript: December 25, 2010
Manuscript Accepted: January 15, 2011
Published: March 14, 2011
Virtual Issues
Vol. 6, Iss. 5 Virtual Journal for Biomedical Optics
Citation
Amikam Borkowski, Zeev Zalevsky, Emanuel Marom, and Bahram Javidi, "Enhanced geometrical superresolved imaging with moving binary random mask," J. Opt. Soc. Am. A 28, 566-575 (2011)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-28-4-566
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