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A Quantitative Comparison of Image Restoration Methods for Confocal Microscopy by G. M. P. VAN KEMPEN; L. J. VAN VLIET; P. J. VERVEER; H. T. M. VAN DER VOORT is a Earth and Planetary Sciences article available to read on EtoBox.

What is A Quantitative Comparison of Image Restoration Methods for Confocal Microscopy about?

In this paper, we compare the performance of three iterative methods for image restoration: the Richardson–Lucy algorithm, the iterative constrained Tikhonov–Miller algorithm (ICTM) and the Carrington algorithm. Both the ICTM and the Carrington algorithm are based on an additive Gaussian noise model, but differ in the way they incorporate the non‐negativity constraint. Under low light‐level conditions, this additive (Gaussian) noise model is a poor description of the actual photon‐limited image recording, compared with that of a Poisson process. The Richardson–Lucy algorithm is a maximum likelihood estimator for the intensity of a Poisson process. We have studied various methods for determining the regularization parameter of the ICTM and the Carrington algorithm and propose a (Gaussian) prefiltering to reduce the noise sensitivity of the Richardson–Lucy algorithm. The results of these algorithms are compared on spheres convolved with a point spread function and distorted by Poisson noise. Our simulations show that the Richardson–Lucy algorithm, with Gaussian prefiltering, produces the best result in most of the tests. Finally, we show an example of how restoration methods can impr

Who reads A Quantitative Comparison of Image Restoration Methods for Confocal Microscopy?

Author

G. M. P. VAN KEMPEN; L. J. VAN VLIET; P. J. VERVEER; H. T. M. VAN DER VOORT

Publisher

John Wiley and Sons; Wiley (Blackwell Publishing); Blackwell Publishing Inc.; Wiley-Blackwell Publishing Ltd; Wiley (ISSN 0022-2720)

Published

1997

Language

EN

Field

Earth and Planetary Sciences (Physical Sciences)