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Image-based color ink diffusion rendering.

Chung-Ming Wang1, Ren-Jie Wang

  • 1Department of Computer Science, National Chung Hsing University, Taichung, Taiwan. cmwang@cs.nchu.eud.tw

IEEE Transactions on Visualization and Computer Graphics
|January 16, 2007
PubMed
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This study introduces a novel algorithm for creating painterly images with realistic color ink diffusion. The method simulates ink spreading on paper, enabling automatic conversion of color images into a diffused ink style.

Area of Science:

  • Computer Graphics
  • Image Processing
  • Computational Art

Background:

  • Traditional Chinese ink simulations are often limited to black ink.
  • Achieving realistic color ink diffusion in digital art is challenging.
  • Existing methods may require manual intervention or lack physical accuracy.

Purpose of the Study:

  • To develop an image-based painterly rendering algorithm for color ink diffusion.
  • To simulate the physical phenomenon of color colloidal ink diffusing into absorbent paper.
  • To automatically convert color images into a visually pleasing diffused ink style without using strokes.

Main Methods:

  • Feature extraction: Luminance division and color segmentation of reference images.
  • Color mixing: Applying Kubelka-Munk (KM) theory for pigment layering.

Related Experiment Videos

  • Ink diffusion synthesis: Utilizing a physically-based model and texture synthesis.

    • Main Results:

    • Successful simulation of color ink diffusion on absorbent paper.
    • Generation of painterly images with a diffused ink aesthetic.
    • Demonstration of automatic conversion from color images to diffused ink style.

    Conclusions:

    • The proposed image-based ink diffusing rendering (IBCIDR) algorithm effectively simulates color ink diffusion.
    • The physically-based model overcomes limitations of traditional black ink simulations.
    • The algorithm produces visually appealing results without manual stroke input.