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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 22 — Aug. 1, 2010
  • pp: 4284–4289

Intensity invariant nonlinear correlation filtering in spatially disjoint noise

Walid Ben Tara, Henri H. Arsenault, and Pascuala García-Martínez  »View Author Affiliations

Applied Optics, Vol. 49, Issue 22, pp. 4284-4289 (2010)

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We analyze the performance of a nonlinear correlation called the Locally Adaptive Contrast Invariant Filter in the presence of spatially disjoint noise under the peak-to-sidelobe ratio (PSR) metric. We show that the PSR using the nonlinear correlation improves as the disjoint noise intensity increases, whereas, for common linear filtering, it goes to zero. Experimental results as well as comparisons with a classical matched filter are given.

© 2010 Optical Society of America

OCIS Codes
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.2000) Image processing : Digital image processing

ToC Category:
Fourier Optics and Signal Processing

Original Manuscript: February 17, 2010
Revised Manuscript: June 30, 2010
Manuscript Accepted: July 7, 2010
Published: July 29, 2010

Walid Ben Tara, Henri H. Arsenault, and Pascuala García-Martínez, "Intensity invariant nonlinear correlation filtering in spatially disjoint noise," Appl. Opt. 49, 4284-4289 (2010)

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