Abstract
Novel matrix-valued imaging techniques such as diffusion tensor magnetic resonance imaging require the development of edge-preserving nonlinear filters. In this paper we introduce a median filter for such tensor-valued data. We show that it inherits a number of favourable properties from scalar-valued median filtering, and we present experiments on synthetic as well as on real-world images that illustrate its performance.
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Welk, M., Feddern, C., Burgeth, B., Weickert, J. (2003). Median Filtering of Tensor-Valued Images. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_3
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DOI: https://doi.org/10.1007/978-3-540-45243-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40861-1
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