The low light intensity of fluorescence has always been a serious limitation to its routine use in biology and biomedicine. Since average users in digital microscopy usually posses commercial TV camera, and not sophysticated and very expensive camera, procedures for software image restoration can represent an alternative and valid solution for studying "in vivo" biological events. In this paper we present a novel algorithm for edge-preserving image restoration, and show the results of its application on a fluorescence test image. The quality of the restored image is comparable to the quality of the image acquired by a high quality camera.

Edge-preserving restoration of low-light-level microscope images

Tonazzini A;Gualtieri P
1994

Abstract

The low light intensity of fluorescence has always been a serious limitation to its routine use in biology and biomedicine. Since average users in digital microscopy usually posses commercial TV camera, and not sophysticated and very expensive camera, procedures for software image restoration can represent an alternative and valid solution for studying "in vivo" biological events. In this paper we present a novel algorithm for edge-preserving image restoration, and show the results of its application on a fluorescence test image. The quality of the restored image is comparable to the quality of the image acquired by a high quality camera.
1994
Istituto di Biofisica - IBF
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Fluorescences images
Markov random fields
Image restoration
Low-light-level images
Image processing and computer vision. Restoration
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/386518
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