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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

  • Vol. 21, Iss. 12 — Dec. 1, 2004
  • pp: 2283–2291

Speckle removal using a maximum-likelihood technique with isoline gray-level regularization

Nicolas Bertaux, Yann Frauel, Philippe Réfrégier, and Bahram Javidi  »View Author Affiliations


JOSA A, Vol. 21, Issue 12, pp. 2283-2291 (2004)
http://dx.doi.org/10.1364/JOSAA.21.002283


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Abstract

We propose a method based on the maximum-likelihood technique for removing speckle patterns that plague coherent images. The proposed method is designed for images whose gray levels vary continuously in space. The image model is based on a lattice of nodes corresponding to vertices of triangles in which the gray level of each pixel is produced by linear interpolation. A constraint on isoline gray levels is introduced to regularize the solution.

© 2004 Optical Society of America

OCIS Codes
(030.0030) Coherence and statistical optics : Coherence and statistical optics
(030.4280) Coherence and statistical optics : Noise in imaging systems
(100.0100) Image processing : Image processing
(100.3010) Image processing : Image reconstruction techniques

History
Original Manuscript: February 10, 2004
Revised Manuscript: June 14, 2004
Manuscript Accepted: June 14, 2004
Published: December 1, 2004

Citation
Nicolas Bertaux, Yann Frauel, Philippe Réfrégier, and Bahram Javidi, "Speckle removal using a maximum-likelihood technique with isoline gray-level regularization," J. Opt. Soc. Am. A 21, 2283-2291 (2004)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-21-12-2283

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