Image enhancement by median filters in algebraic reconstruction methods: an experimental study

Authors:
Norbert Hantos;Péter Balázs
Affiliations:
Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary;Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Year:
2010

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Abstract

Algebraic methods for image reconstruction provide good solutions even if only few projections are available. However, they can create noisy images if the number of iterations or the computational time is limited. In this paper, we show how to decrease the effect of noise by using median filters during the iterations. We present an extensive study by applying filters of different sizes and in various times of the reconstruction process. Also, our test images are of different structural complexity. Our study concentrates on the ART and its discrete variant DART reconstruction methods.