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. © 2010 Springer-Verlag.
CITATION STYLE
Hantos, N., & Balázs, P. (2010). Image enhancement by median filters in algebraic reconstruction methods: An experimental study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6455 LNCS, pp. 339–348). https://doi.org/10.1007/978-3-642-17277-9_35
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