Adaptive nonlocal filtering: A fast alternative to anisotropic diffusion for image enhancement
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 in real-time vision applications. In the present paper, we show that two orders of magnitude speed improvement is provided by a new image filtering paradigm in which an adaptively determined vector field specifies nonlocal application points for an image filter.
nonlocal filter filtering anisotropic diffusion diffusion segmentation scale-space nonlinear diffusion permutation filter