PT Journal
AU Kraus, M
TI Quasi-Convolution Pyramidal Blurring
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2009
VL 6(2009)
IS 6
DI 10.20385/1860-2037/6.2009.6
DE GPU; blurring; image processing; pyramid algorithm; real-time; rendering
AB 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.
ER