Fuzzy logic and maximum a posteriori-based image restoration for confocal microscopy
Optics Letters, Vol. 31, Issue 24, pp. 3582-3584 (2006)
http://dx.doi.org/10.1364/OL.31.003582
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Abstract
We propose a maximum a posteriori image restoration approach to 3D confocal microscopy. The image field is suitably modeled as a Markov random field, resulting in a Gibbs distributed image. A fuzzy-logic-based potential is employed in the Gibbs prior. Unlike other potentials, the fuzzy potential distinguishes intensity variation due to genuine edges and noise. The proposed approach has generated artifact-free restored confocal microscopy images.
© 2006 Optical Society of America
OCIS Codes
(100.1830) Image processing : Deconvolution
(100.3020) Image processing : Image reconstruction-restoration
(100.6890) Image processing : Three-dimensional image processing
(180.1790) Microscopy : Confocal microscopy
(180.6900) Microscopy : Three-dimensional microscopy
ToC Category:
Image Processing
History
Original Manuscript: July 11, 2006
Revised Manuscript: September 12, 2006
Manuscript Accepted: September 13, 2006
Published: November 22, 2006
Virtual Issues
Vol. 2, Iss. 1 Virtual Journal for Biomedical Optics
Citation
Giuseppe Vicidomini, Partha Pratim Mondal, and Alberto Diaspro, "Fuzzy logic and maximum a posteriori-based image restoration for confocal microscopy," Opt. Lett. 31, 3582-3584 (2006)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-31-24-3582
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