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James W. Patterson, C. D. Taylor, and P. J. Willis, Constructing And Rendering Vectorised Photographic Images. JVRB - Journal of Virtual Reality and Broadcasting, 9(2012), no. 3. (urn:nbn:de:0009-6-32713)

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%0 Journal Article
%T Constructing And Rendering Vectorised Photographic Images
%A Patterson, James W.
%A Taylor, C. D.
%A Willis, P. J.
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2013
%V 9(2012)
%N 3
%@ 1860-2037
%F patterson2013
%X We address the problem of representing captured images in the continuous mathematical space more usually associated with certain forms of drawn ('vector') images. Such an image is resolution-independent so can be used as a master for varying resolution-specific formats. We briefly describe the main features of a vectorising codec for photographic images, whose significance is that drawing programs can access images and image components as first-class vector objects. This paper focuses on the problem of rendering from the isochromic contour form of a vectorised image and demonstrates a new fill algorithm which could also be used in drawing generally. The fill method is described in terms of level set diffusion equations for clarity. Finally we show that image warping is both simplified and enhanced in the vector form and that we can demonstrate real histogram equalisation with genuinely rectangular histograms straightforwardly.
%L 004
%K Level Sets
%K Model-based coding
%K Rendering
%R 10.20385/1860-2037/9.2012.3
%U http://nbn-resolving.de/urn:nbn:de:0009-6-32713
%U http://dx.doi.org/10.20385/1860-2037/9.2012.3
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@Article{patterson2013,
  author = 	"Patterson, James W.
		and Taylor, C. D.
		and Willis, P. J.",
  title = 	"Constructing And Rendering Vectorised Photographic Images",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2013",
  volume = 	"9(2012)",
  number = 	"3",
  keywords = 	"Level Sets; Model-based coding; Rendering",
  abstract = 	"We address the problem of representing captured images in the continuous mathematical space more usually associated with certain forms of drawn ('vector') images. Such an image is resolution-independent so can be used as a master for varying resolution-specific formats. We briefly describe the main features of a vectorising codec for photographic images, whose significance is that drawing programs can access images and image components as first-class vector objects. This paper focuses on the problem of rendering from the isochromic contour form of a vectorised image and demonstrates a new fill algorithm which could also be used in drawing generally. The fill method is described in terms of level set diffusion equations for clarity. Finally we show that image warping is both simplified and enhanced in the vector form and that we can demonstrate real histogram equalisation with genuinely rectangular histograms straightforwardly.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/9.2012.3",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-32713"
}
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RIS

TY  - JOUR
AU  - Patterson, James W.
AU  - Taylor, C. D.
AU  - Willis, P. J.
PY  - 2013
DA  - 2013//
TI  - Constructing And Rendering Vectorised Photographic Images
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 9(2012)
IS  - 3
KW  - Level Sets
KW  - Model-based coding
KW  - Rendering
AB  - We address the problem of representing captured images in the continuous mathematical space more usually associated with certain forms of drawn ('vector') images. Such an image is resolution-independent so can be used as a master for varying resolution-specific formats. We briefly describe the main features of a vectorising codec for photographic images, whose significance is that drawing programs can access images and image components as first-class vector objects. This paper focuses on the problem of rendering from the isochromic contour form of a vectorised image and demonstrates a new fill algorithm which could also be used in drawing generally. The fill method is described in terms of level set diffusion equations for clarity. Finally we show that image warping is both simplified and enhanced in the vector form and that we can demonstrate real histogram equalisation with genuinely rectangular histograms straightforwardly.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-32713
DO  - 10.20385/1860-2037/9.2012.3
ID  - patterson2013
ER  -
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Wordbib

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ISI

PT Journal
AU Patterson, J
   Taylor, C
   Willis, P
TI Constructing And Rendering Vectorised Photographic Images
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2013
VL 9(2012)
IS 3
DI 10.20385/1860-2037/9.2012.3
DE Level Sets; Model-based coding; Rendering
AB We address the problem of representing captured images in the continuous mathematical space more usually associated with certain forms of drawn ('vector') images. Such an image is resolution-independent so can be used as a master for varying resolution-specific formats. We briefly describe the main features of a vectorising codec for photographic images, whose significance is that drawing programs can access images and image components as first-class vector objects. This paper focuses on the problem of rendering from the isochromic contour form of a vectorised image and demonstrates a new fill algorithm which could also be used in drawing generally. The fill method is described in terms of level set diffusion equations for clarity. Finally we show that image warping is both simplified and enhanced in the vector form and that we can demonstrate real histogram equalisation with genuinely rectangular histograms straightforwardly.
ER
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Mods

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    <namePart type="given">P. J.</namePart>
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  <abstract>We address the problem of representing captured images in the continuous mathematical space more usually associated with certain forms of drawn ('vector') images. Such an image is resolution-independent so can be used as a master for varying resolution-specific formats. We briefly describe the main features of a vectorising codec for photographic images, whose significance is that drawing programs can access images and image components as first-class vector objects. This paper focuses on the problem of rendering from the isochromic contour form of a vectorised image and demonstrates a new fill algorithm which could also be used in drawing generally. The fill method is described in terms of level set diffusion equations for clarity. Finally we show that image warping is both simplified and enhanced in the vector form and that we can demonstrate real histogram equalisation with genuinely rectangular histograms straightforwardly.</abstract>
  <subject>
    <topic>Level Sets</topic>
    <topic>Model-based coding</topic>
    <topic>Rendering</topic>
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Full Metadata

Bibliographic Citation JVRB, 9(2012), no. 3.
Title

Constructing And Rendering Vectorised Photographic Images (eng)
Author James W. Patterson, C. D. Taylor, P. J. Willis
Language eng
Abstract We address the problem of representing captured images in the continuous mathematical space more usually associated with certain forms of drawn ('vector') images. Such an image is resolution-independent so can be used as a master for varying resolution-specific formats. We briefly describe the main features of a vectorising codec for photographic images, whose significance is that drawing programs can access images and image components as first-class vector objects. This paper focuses on the problem of rendering from the isochromic contour form of a vectorised image and demonstrates a new fill algorithm which could also be used in drawing generally. The fill method is described in terms of level set diffusion equations for clarity. Finally we show that image warping is both simplified and enhanced in the vector form and that we can demonstrate real histogram equalisation with genuinely rectangular histograms straightforwardly.
Subject Level Sets, Model-based coding, Rendering
Classified Subjects
swd
  • 4006684-8, Image processing
  • 4219666-8, Rendering
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-32713
DOI https://doi.org/10.20385/1860-2037/9.2012.3