Istituto di Scienza e Tecnologie dell'Informazione     
Gerace I., Bedini L., Tonazzini A., Gualtieri P. Edge-preserving restoration of low-light-level microscope images. In: Micron, vol. 26 (3) pp. 195 - 199. Elsevier, 1995.
The low light inmtensity of fluorescence has always been a serious limitation to its routine use in biology and biomedicine. Since average users in digital microscopy usually possess a commercial TV camera, which is not always a sophisticated or 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.
DOI: 10.1016/0968-4328(94)00057-W
Subject Fluorescence images
Markov Random Fields
Image restoration
Low-light-level images
I.4.4 Image Processing and computer vision. Restoration

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