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Martin Kraus, Quasi-Convolution Pyramidal Blurring. JVRB - Journal of Virtual Reality and Broadcasting, 6(2009), no. 6. (urn:nbn:de:0009-6-18214)

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%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
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@Article{kraus2009,
  author = 	"Kraus, Martin",
  title = 	"Quasi-Convolution Pyramidal Blurring",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2009",
  volume = 	"6(2009)",
  number = 	"6",
  keywords = 	"GPU; blurring; image processing; pyramid algorithm; real-time; rendering",
  abstract = 	"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.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/6.2009.6",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-18214"
}
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TY  - JOUR
AU  - Kraus, Martin
PY  - 2009
DA  - 2009//
TI  - Quasi-Convolution Pyramidal Blurring
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 6(2009)
IS  - 6
KW  - GPU
KW  - blurring
KW  - image processing
KW  - pyramid algorithm
KW  - real-time
KW  - 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.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-18214
DO  - 10.20385/1860-2037/6.2009.6
ID  - kraus2009
ER  -
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Wordbib

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ISI

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
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Mods

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    <topic>GPU</topic>
    <topic>blurring</topic>
    <topic>image processing</topic>
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Full Metadata

Bibliographic Citation JVRB, 6(2009), no. 6.
Title

Quasi-Convolution Pyramidal Blurring (eng)
Author Martin Kraus
Language eng
Abstract 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.
Subject GPU, blurring, image processing, pyramid algorithm, real-time, rendering
Classified Subjects
swd
  • 4219666-8, Rendering
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-18214
DOI https://doi.org/10.20385/1860-2037/6.2009.6