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<p><b>Abstract</b>—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.</p>
Segmentation, diffusion, scale-space, anisotropic diffusion, nonlinear diffusion, filtering, permutation filter, nonlocal filter.

B. Fischl and E. L. Schwartz, "Adaptive Nonlocal Filtering: A Fast Alternative to Anisotropic Diffusion for Image Enhancement," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 21, no. , pp. 42-48, 1999.
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