Estimating color and texture parameters for vector graphics

S. Jeschke, D. Cline, P. Wonka

Research output: Contribution to journalConference articlepeer-review

38 Scopus citations


Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions as well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We start by defining a geometric heuristic for the maximum density of color control points along the image curves. Following this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching applications.

Original languageEnglish (US)
Pages (from-to)523-532
Number of pages10
JournalComputer Graphics Forum
Issue number2
StatePublished - 2011
Event32nd Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2011 - Llandudno, Wales, United Kingdom
Duration: Apr 11 2011Apr 15 2011

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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