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

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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.

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Acknowledgement

This research was supported by the Chung-Ang University Research Scholarship Grants in 2011.

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Authors and Affiliations

  1. ChungAng University, 221 Heuksuk Dong, Dongjak-Gu, Seoul, Korea

    Hochang Lee, Keejoo Ahn & Kyunghyun Yoon

  2. CNRS-LIRIS, University of Lyon 1, Lyon, France

    Sanghyun Seo

  3. Hansin University, Osan, Korea

    Seungtaek Ryoo

Authors
  1. Hochang Lee
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  2. Sanghyun Seo
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  3. Seungtaek Ryoo
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  4. Keejoo Ahn
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  5. Kyunghyun Yoon
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Correspondence to Kyunghyun Yoon.

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Lee, H., Seo, S., Ryoo, S. et al. A multi-level depiction method for painterly rendering based on visual perception cue. Multimed Tools Appl 64, 277–292 (2013). https://doi.org/10.1007/s11042-012-1036-x

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