SVG rendering of digital images: an overview

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 Vector Eye. 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, while Vector Eye is a commercial tool. Final quality has been assessed over a large dataset of images both in terms of PSNR and compression ratio.