maximize


@inproceedings{KlErHuRuSt02,
  author = {Klupsch, Steffen and Ernst, Markus and Huss, Sorin A. and Rumpf,
	Martin and Strzodka, Robert},
  title = {Real Time Image Processing based on Reconfigurablhimoe Hardware Acceleration},
  booktitle = {Heterogeneous reconfigurable Systems on Chip},
  year = {2002},
  abstract = {This paper is concerned with a substantial speed up of image processing
	methods on 2D and 3D images making use of modern FPGA (Field Programmable
	Gate Array) technology. The applications of this class of methods
	ranges from 2D and 3D image denoising and restoration, segmentation,
	morphological shape recovery and matching to vector field visualization
	and simulation. The described demonstrator is based on level set
	methods, but the proposed workflow allows to exchange the underlying
	mathematical methods easily. The FPGA based hardware implementation
	profits especially from the high parallelism in the algorithm and
	the moderate number precision required to preserve the qualitative
	effects of the mathematical models. Furthermore, different variants
	can be supported on the same hardware by uploading a new programming
	onto the FPGA. This will enable the use of these flexible image processing
	methods in applications where real time performance is indispensable.},
  pdf = {http://numod.ins.uni-bonn.de/research/papers/public/KlErHuRuSt02.pdf 1},
  html = {http://numerik.math.uni-duisburg.de/people/strzodka/projects/RC/}
}