• DocumentCode
    1220069
  • Title

    Flow-Based Image Abstraction

  • Author

    Kang, Henry ; Lee, Seungyong ; Chui, Charles K.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Univ. of Missouri, St. Louis, MO
  • Volume
    15
  • Issue
    1
  • fYear
    2009
  • Firstpage
    62
  • Lastpage
    76
  • Abstract
    We present a non-photorealistic rendering technique that automatically delivers a stylized abstraction of a photograph. Our approach is based on shape/color filtering guided by a vector field that describes the flow of salient features in the image. This flow-based filtering significantly improves the abstraction performance in terms of feature enhancement and stylization. Our method is simple, fast, and easy to implement. Experimental results demonstrate the effectiveness of our method in producing stylistic and feature-enhancing illustrations from photographs.
  • Keywords
    filtering theory; image colour analysis; image enhancement; photography; rendering (computer graphics); feature enhancement; feature stylization; flow-based filtering; flow-based image abstraction; nonphotorealistic rendering; photograph abstraction; shape/color filtering; vector field; Color; Colored noise; Data mining; Displays; Filtering; Filters; Layout; Noise shaping; Rendering (computer graphics); Shape; Enhancement; Picture/Image Generation; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Rheology;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2008.81
  • Filename
    4522547