%0 Journal Article
%T Quasi-Convolution Pyramidal Blurring
%A Kraus, Martin
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2009
%V 6(2009)
%N 6
%@ 1860-2037
%F kraus2009
%X Efficient image blurring techniques based on the pyramid algorithm can be implemented on modern graphicshardware; 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 kernelvaries 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.
%L 004
%K GPU
%K blurring
%K image processing
%K pyramid algorithm
%K real-time
%K rendering
%R 10.20385/1860-2037/6.2009.6
%U http://nbn-resolving.de/urn:nbn:de:0009-6-18214
%U http://dx.doi.org/10.20385/1860-2037/6.2009.6