• DocumentCode
    3362856
  • Title

    Non-Photorealistic Rendering for Streamline Stylization Using Sequential Filters

  • Author

    Chen, Xiaoguang ; Liu, Jiang ; Wu, Ran

  • Author_Institution
    Inst. of Image Process. & Pattern Recognition, North China Univ. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    245
  • Lastpage
    248
  • Abstract
    Non-photorealistic rendering (NPR) such as stylization has received much concern in area of computer graphics and image processing. In this paper, a simple and effective method is proposed for streamline stylization. Through a kind of sequential filters, the method performs a series of operations, including detail removal, region smoothing, structure enhancement, and edge sharpen, to transform common pictures into Impressionist oil-painting like images with streamline style. Experimental results on a gallery of images demonstrate that our method can render images in good NPR style impressively and provide encouraging visual effects.
  • Keywords
    art; edge detection; filtering theory; image enhancement; rendering (computer graphics); NPR style; computer graphics; detail removal; edge sharpen; image filtering; image processing; impressionist oil-painting like images; nonphotorealistic rendering; region smoothing; sequential filters; streamline stylization; structure enhancement; visual effects; Electric shock; Image edge detection; Painting; Rendering (computer graphics); Smoothing methods; Streaming media; image filtering; non-photorealistic rendering; sequential filters; streamline stylization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.68
  • Filename
    6305672