@ARTICLE{DiPrRuSt01,
  author = {Diewald, U. and Preu{\ss}er, T. and Rumpf, M. and Strzodka, R.},
  title = {Diffusion models and their accelerated solution in computer vision
	applications},
  journal = {Acta Mathematica Universitatis Comenianae (AMUC)},
  year = {2001},
  volume = {70},
  pages = {15--31},
  number = {1},
  abstract = {During the last decade nonlinear anisotropic diffusion models have
	shown to be powerful methods not only in image processing. Moreover
	these methodologies can be adopted to other areas in computer vision.
	On the level of the continuous model one can study the qualitative
	aspects and properties whereas approved discretization schemes are
	at hand for an efficient implementation. In this paper we discuss
	several anisotropic diffusion methods and outline a novel technique
	for geometric surface processing. Moreover we will show how the solution
	process can be accelerated significantly by using texture hardware
	of modern graphics cards, making use of the much better memory bandwidth
	and the built-in parallelism.},
  html = {http://numerik.math.uni-duisburg.de/people/strzodka/projects/IP/}
}