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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Stephen A. Burns
  • Vol. 26, Iss. 6 — Jun. 1, 2009
  • pp: 1518–1524

Cost-effective implementation of order-statistics-based vector filters using minimax approximations

M. Emre Celebi, Hassan A. Kingravi, Rastislav Lukac, and Fatih Celiker  »View Author Affiliations


JOSA A, Vol. 26, Issue 6, pp. 1518-1524 (2009)
http://dx.doi.org/10.1364/JOSAA.26.001518


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Abstract

Vector operators based on robust order statistics have proved successful in digital multichannel imaging applications, particularly color image filtering and enhancement, in dealing with impulsive noise while preserving edges and fine image details. These operators often have very high computational requirements, which limits their use in time-critical applications. This paper introduces techniques to speed up vector filters using the minimax approximation theory. Extensive experiments on a large and diverse set of color images show that proposed approximations achieve an excellent balance among ease of implementation, accuracy, and computational speed.

© 2009 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2980) Image processing : Image enhancement
(100.3010) Image processing : Image reconstruction techniques

ToC Category:
Image Processing

History
Original Manuscript: January 21, 2009
Manuscript Accepted: March 25, 2009
Published: May 29, 2009

Citation
M. Emre Celebi, Hassan A. Kingravi, Rastislav Lukac, and Fatih Celiker, "Cost-effective implementation of order-statistics-based vector filters using minimax approximations," J. Opt. Soc. Am. A 26, 1518-1524 (2009)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-6-1518

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