Quasi-Convolution Pyramidal Blurring
Data(s) |
07/03/2008
18/03/2009
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Resumo |
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. |
Identificador |
urn:nbn:de:0009-6-18214 |
Idioma(s) |
eng |
Direitos |
DPPL |
Fonte |
JVRB - Journal of Virtual Reality and Broadcasting ; 6(2009) , 6 |
Palavras-Chave | #004 #http://dewey.info/class/004/ #GPU #blurring #image processing #pyramid algorithm #real-time #rendering #swd: Rendering #: Image Processing |