Comparison of image restoration methods for bioluminescence imaging

Abstract

International audienceBioluminescence 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