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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Image Enhancement by Median Filters in Algebraic Reconstruction Methods: An Experimental Study
verfasst von : Norbert Hantos, Péter Balázs
Erschienen in: Advances in Visual Computing
Verlag: Springer Berlin Heidelberg
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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.