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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Franco Gori
  • Vol. 28, Iss. 4 — Apr. 1, 2011
  • pp: 566–575

Enhanced geometrical superresolved imaging with moving binary random mask

Amikam Borkowski, Zeev Zalevsky, Emanuel Marom, and Bahram Javidi  »View Author Affiliations

JOSA A, Vol. 28, Issue 4, pp. 566-575 (2011)

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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

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

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)

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