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Edge-preserving restoration in 2-D fluorescence microscopy
Authors:Luigi Bedini  Ivan Gerace  Anna Tonazzini  Paolo Gualtieri
Affiliation:

a Istituto di Elaborazione della Informazione-C.N.R., Via S. Maria 46, 56126, Pisa, Italy

b Istituto di Biofisica-C.N.R., Via S. Lorenzo 26, 56127, Pisa, Italy

Abstract:Procedures for software image restoration can be useful for studying biological events. This is especially true in the case of low light-intensity fluorescence images, obtained with both wide-field and confocal microscopy. This review describes most of the algorithms for image restoration, with particular emphasis on edge-preserving procedures, and shows the results of their application to synthetic and fluorescence 2-D images.
Keywords:2-D fluorescence images   low-light-level images   wide-field microscopy   confocal microscopy   image restoration   regularization   Markov random fields   edge-preserving reconstruction
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