• DocumentCode
    1997349
  • Title

    SVG rendering for Internet imaging

  • Author

    Battiato, S. ; Di Blasi, Giovanni ; Gallo, G. ; Messina, G. ; Nicotra, S.

  • Author_Institution
    Dipt. di Matematica e Informatica, Catania Univ., Italy
  • fYear
    2005
  • fDate
    4-6 July 2005
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    The SVG (scalable vector graphics) standard allows representing complex graphical scenes by a collection of graphic vectorial-based primitives, offering several advantages with respect to classical raster images such as: scalability, resolution independence, etc. In this paper we present a full comparison between some advanced raster to SVG algorithms: SWaterG, SVGenie, SVGWave and some commercial tools. SWaterG works by a watershed decomposition coupled with some ad-hoc heuristics, SVGenie and SVGWave use a polygonalization based respectively on data dependent and wavelet triangulation. The results obtained by SWaterG, SVGenie and SVGWave are satisfactory both in terms of perceptual measured quality and compression ratio.
  • Keywords
    Internet; data compression; image resolution; rendering (computer graphics); visual languages; wavelet transforms; Internet imaging; SVG rendering; SVGWave; SVGenie; SWaterG; ad-hoc heuristics; complex graphical scenes; compression ratio; data dependent triangulation; graphic vectorial-based primitives; perceptual measured quality; polygonalization; raster to SVG algorithms; resolution; scalable vector graphics; watershed decomposition; wavelet triangulation; Cost function; Digital photography; Graphics; Image edge detection; Image resolution; Internet; Layout; Rendering (computer graphics); Scalability; XML; SVG; Triangulation; Watershed; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Architecture for Machine Perception, 2005. CAMP 2005. Proceedings. Seventh International Workshop on
  • Print_ISBN
    0-7695-2255-6
  • Type

    conf

  • DOI
    10.1109/CAMP.2005.51
  • Filename
    1508207