A multi-level depiction method for painterly rendering based on visual perception cue

  • Authors:
  • Hochang Lee;Sanghyun Seo;Seungtaek Ryoo;Keejoo Ahn;Kyunghyun Yoon

  • Affiliations:
  • ChungAng University, Seoul, Korea;CNRS-LIRIS, University of Lyon 1, Lyon, France;Hansin University, Osan, Korea;ChungAng University, Seoul, Korea;ChungAng University, Seoul, Korea

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2013

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Abstract

Increasing the level of detail (LOD) in brushstrokes within areas of interest improved the realism of painterly rendering. Using a modified quad-tree, we segmented an image into areas with similar levels of saliency; each of these segments was then used to control the brush strokes during rendering. We could also simulate real oil painting steps based on saliency information. Our method runs in a reasonable fine and produces results that are visually appealing and competitive with previous techniques.