Abstract
A novel nonlinear filtering method for multivariate data is proposed. The algorithm belongs to the rank conditioned rank selection (RCRS) filtering framework. A similar algorithm to that of the basic RCRS filter can be applied for finding the optimal filters. Experimental results and comparison to other common filter classes are presented.
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© 1998 Springer-Verlag London Limited
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Huttunen, H., Kuosmanen, P. (1998). RCRS Filters for Digital Image Sequences. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_11
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DOI: https://doi.org/10.1007/978-1-4471-1597-7_11
Publisher Name: Springer, London
Print ISBN: 978-3-540-76258-4
Online ISBN: 978-1-4471-1597-7
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