Quasi-Convolution Pyramidal Blurring Kraus Martin 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. GPU blurring image processing pyramid algorithm real-time rendering 004 periodical academic journal JVRB - Journal of Virtual Reality and Broadcasting 6(2009) 6 2009 1860-2037 urn:nbn:de:0009-6-18214 10.20385/1860-2037/6.2009.6 http://nbn-resolving.de/urn:nbn:de:0009-6-18214 kraus2009