A GPU Laplacian solver for diffusion curves and Poisson image editing

Stefan Jeschke, David Cline, Peter Wonka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

79 Scopus citations


We present a new Laplacian solver for minimal surfaces - -surfaces having a mean curvature of zero everywhere except at some fixed (Dirichlet) boundary conditions. Our solution has two main contributions: First, we provide a robust rasterization technique to transform continuous boundary values (diffusion curves) to a discrete domain. Second, we define a variable stencil size diffusion solver that solves the minimal surface problem. We prove that the solver converges to the right solution, and demonstrate that it is at least as fast as commonly proposed multigrid solvers, but much simpler to implement. It also works for arbitrary image resolutions, as well as 8 bit data. We show examples of robust diffusion curve rendering where our curve rasterization and diffusion solver eliminate the strobing artifacts present in previous methods. We also show results for real-time seamless cloning and stitching of large image panoramas.

Original languageEnglish (US)
Title of host publicationProceedings of ACM SIGGRAPH Asia 2009, SIGGRAPH Asia '09
StatePublished - 2009
EventACM SIGGRAPH Asia 2009, SIGGRAPH Asia '09 - Yokohama, Japan
Duration: Dec 16 2009Dec 19 2009


OtherACM SIGGRAPH Asia 2009, SIGGRAPH Asia '09


  • Diffusion
  • Line and curve rendering
  • Poisson equation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'A GPU Laplacian solver for diffusion curves and Poisson image editing'. Together they form a unique fingerprint.

Cite this