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Bibtex 6(2009)6

Quasi-Convolution Pyramidal Blurring
@article{Kra09,
  author="Martin Kraus",
  title="Quasi-Convolution Pyramidal Blurring",
  journal="Journal of Virtual Reality and Broadcasting",
  editor = "Jens Herder and Jos\'{e} Braz",
  series = "GRAPP 2008 Special Issue",
  year="2009",
  volume="6",
  number="6",
  month=aug,
  note="{\tt urn:nbn:de:0009-6-18214,}, ISSN 1860-2037",
  abstract = "Efficient image blurring techniques based on the pyramid
              algorithm can be implemented on modern graphics
              hardware; thus, image blurring with arbitrary blur
              width is possible in real time even for large images.
              However, pyramidal blurring methods do not achieve
              the image quality provided by convolution filters; in
              particular, the shape of the corresponding filter kernel
              varies locally, which potentially results in objectionable
              rendering artifacts. In this work, a new analysis
              filter is designed that significantly reduces this variation
              for a particular pyramidal blurring technique.
              Moreover, the pyramidal blur algorithm is generalized
              to allow for a continuous variation of the blur
              width. Furthermore, an efficient implementation for
              programmable graphics hardware is presented. The
              proposed method is named “quasi-convolution pyramidal
              blurring” since the resulting effect is very close
              to image blurring based on a convolution filter for
              many applications."
}
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Last modified 2009-12-11 09:13 AM