Issue No. 01 - January (1999 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.745732
<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.
Bruce Fischl, Eric L. Schwartz, "Adaptive Nonlocal Filtering: A Fast Alternative to Anisotropic Diffusion for Image Enhancement", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 21, no. , pp. 42-48, January 1999, doi:10.1109/34.745732