PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bedini L., Gerace I., Tonazzini A., Gualtieri P. Edge-preserving restoration in 2-D fluorescence microscopy. In: Micron, vol. 27 (6) pp. 431 - 447. Pergamon, 1996.
 
 
Abstract
(English)
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.
Subject 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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