Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement
作者： B. Fischl , E.L. Schwartz
DOI: 10.1109/34.745732
关键词:
摘要: Nonlinear anisotropic diffusion algorithms provide significant improvement in image enhancement as compared to linear filters. However, the excessive computational cost of solving nonlinear PDEs precludes their use real-time vision applications. We show that two orders magnitude speed is provided by a new filtering paradigm which an adaptively determined vector field specifies nonlocal application points for filter.
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