Abstract
A novel filtering algorithm called adaptive directional weighted median (ADWM) filtering is proposed in this paper. The ideas of the directional filtering and the weighted median filtering are combined to construct the ADWM filter. The use of the variance of the moving window and the base variance support the adaptivity of the ADWM filter. The experimental results show that the ADWM filter can both reduce random noise and preserve details.
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© 2006 Springer
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Guo, X., Xu, Z., Lu, Y., Pang, Y. (2006). ADAPTIVE DIRECTIONAL WEIGHTED MEDIAN FILTERING. In: LIU, G., TAN, V., HAN, X. (eds) Computational Methods. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-3953-9_49
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DOI: https://doi.org/10.1007/978-1-4020-3953-9_49
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3952-2
Online ISBN: 978-1-4020-3953-9
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