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
Full Article | PDF ArticleMore Like This
Zhimin Xu and Edmund Y. Lam
Opt. Lett. 34(9) 1453-1455 (2009)
Partha P. Mondal and K. Rajan
J. Opt. Soc. Am. A 22(9) 1763-1771 (2005)
Peter J. Verveer and Thomas M. Jovin
J. Opt. Soc. Am. A 14(8) 1696-1706 (1997)