Comparison of image restoration methods for bioluminescence imaging

Autor: Akkoul, Smaïl, Lédée, Roger, Leconge, Rémy, Léger, Christophe, Harba, Rachid, Pesnel, Sabrina, Lerondel, Stéphanie, Lepape, Alain
Přispěvatelé: Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Centre d'Imagerie du Petit Animal (CIPA), Université d'Orléans (UO), Transgénèse et Archivage d'Animaux Modèles - Centre d'Imagerie du Petit Animal (TAAM-CIPA), Centre National de la Recherche Scientifique (CNRS), Service de réanimation chirurgicale, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Léger, Christophe
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Zdroj: International Conference on Image and Signal Processing
ICISP 2008
ICISP 2008, Jul 2008, Cherbourg, France. pp.163-172
Popis: International audience; Bioluminescence imaging is a recent modality to visualize biological effects more especially for small animals. However the acquired images are degraded by diffusion and absorption phenomena from the tissue and by the acquisition system itself. In this paper, we use restoration methods to enhance the quality of bioluminescence images. We propose a model for image formation and an experimental determination of the PSF (Point Spread Function). Several methods of restoration are compared on test images generated according to the model and on real data. This comparison is insured by using MSE (Mean Square Error) and two quantitative criteria. Results establish that the statistical methods give more accurate restoration and well adapted for Bioluminescence Imaging.
Databáze: OpenAIRE