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.
Index Terms:
SVG, Triangulation, Watershed, Wavelet
Citation:
S. Battiato, G. Di Blasi, G. Gallo, G. Messina, S. Nicotra, "SVG Rendering for Internet Imaging," camp, pp.333-338, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005