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.