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. 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.
['Bruce Fischl', 'Eric L. Schwartz']
Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement