Fakultät Informatik

Quasi-Convolution Pyramidal Blurring

 Martin Kraus

Computer Graphics and Visualization Group, Technische Universität München, Germany


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, 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.

Associated publications

Quasi-Convolution Pyramidal Blurring
Martin Kraus, GRAPP 2008 [Bibtex]



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