Comparison of Image Restoration Methods for Bioluminescence Imaging

  • Smaïl Akkoul
  • Roger Ledee
  • Remy Leconge
  • Christophe Leger
  • Rachid Harba
  • Sabrina Pesnel
  • Stéphanie Lerondel
  • Alain Lepape
  • Luis Vilcahuaman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

Bioluminescence imaging is a recent modality to visualize biological effects, 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 restoration methods 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 other quantitative criteria. Results showed that the statistical methods give more accurate restoration and are well adapted for Bioluminescence Imaging.

Keywords

Restoration methods Bioluminescence Imaging acquisition models 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Smaïl Akkoul
    • 1
  • Roger Ledee
    • 1
  • Remy Leconge
    • 1
  • Christophe Leger
    • 1
  • Rachid Harba
    • 1
  • Sabrina Pesnel
    • 2
  • Stéphanie Lerondel
    • 2
  • Alain Lepape
    • 2
  • Luis Vilcahuaman
    • 3
  1. 1.Institut PRISMEUniversité d’OrléansORLEANS CEDEX 2
  2. 2.Centre d’Imagerie du Petit Animal, CIPA-CNRS, UPR n°44
  3. 3.Facultad de Ciencias e IngenieriaPontificia Universidad Catolica del PeruLimaPERU

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