maximize


@inproceedings{PrRu99,
  author = {Preu{\ss}er, T. and Rumpf, M.},
  title = {Anisotropic Nonlinear Diffusion in Flow Visualization},
  booktitle = {Visualization},
  year = {1999},
  abstract = {Vector field visualization is an important topic in scientific visualization.
	Its aim is to graphically represent field data in an intuitively
	understandable and precise way. Here a new approach based on anisotropic
	nonlinear diffusion is introduced. It enables an easy perception
	of flow data and serves as an appropriate scale space method for
	the visualization of complicated flow pattern. The approach is closely
	related to nonlinear diffusion methods in image analysis where images
	are smoothed while still retaining and enhancing edges. Here an initial
	noisy image is smoothed along streamlines, whereas the image is sharpened
	in the orthogonal direction. The method is based on a continuous
	model and requires the solution of a parabolic PDE problem. It is
	discretized only in the final implementational step. Therefore, many
	important qualitative aspects can already be discussed on a continuous
	level. Applications are shown in 2D and 3D and the provisions for
	flow segmentation are outlined.},
  pdf = {http://numod.ins.uni-bonn.de/research/papers/public/PrRu99.pdf 1},
  html = {http://numerik.math.uni-duisburg.de/research/research-sites/preusser/FlowVis/index.html},
  printed = {1}
}