• DocumentCode
    1978261
  • Title

    Improving Self-Quotient Image Method of NPR

  • Author

    Wang, Huiqin ; Chen, Jingchao

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
  • Volume
    6
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    213
  • Lastpage
    216
  • Abstract
    Self-quotient image (SQI) method was recently proposed, which is applicable to non-photorealistic rendering (NPR). In this paper, we analyse the deficiencies of the original SQI method in generating sketching style from various images and make some improvements on it. The basic idea is to enhance features and weaken noise by enlarging the differences of feature pixels¿ gray values between anisotropic filtrated and isotropic filtrated images and reducing the differences in other areas. The experiment results show that using the improved SQI method, we can obtain sketching style with stronger features and less noises from original photos regardless of their smoothness or noise.
  • Keywords
    rendering (computer graphics); anisotropic-isotropic filtrated images; feature enhancement; feature pixel gray values; nonphotorealistic rendering; self-quotient image method; Anisotropic magnetoresistance; Computer science; Digital images; Educational institutions; Filters; Image analysis; Information science; Pixel; Rendering (computer graphics); Software engineering; anisotropic filter; isotropic filter; non-photorealistic rendering; self-quotient image; sketching style;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.224
  • Filename
    4723234