• DocumentCode
    497136
  • Title

    Adaptive Calculation of Division Points for Piecewise Linear Transformation and Application in Image Enhancement

  • Author

    Zhang, Junhua ; Yang, Gen ; Xu, Qing ; Zhao, Yongjun

  • Author_Institution
    Dept. of Inf. Process., Inst. of Zhengzhou Inf. Sci. & Technol., Zhengzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    645
  • Lastpage
    648
  • Abstract
    Piecewise linear transformation is usually used to increase the contrast of image efficiently. It is most important to select division points during the processing course of piecewise linear transformation because these division points can decide the quality and efficiency of image enhancement. But the proper division points are usually selected after several experiments which take a lot of time. In this paper, division points are automatically computed based on minimum error threshold which can increase the efficiency greatly. The whole image is divided into three sections based on the gray level. Different procession methods such as extension, maintenance and compression are carried on to these different sections. Experiments show that piecewise linear transformation is more valid to improve image quality comparing with other methods such as histogram equalization, linear transformation.
  • Keywords
    image enhancement; piecewise linear techniques; transforms; adaptive calculation; division points; histogram equalization; image enhancement; minimum error threshold; piecewise linear transformation; Computer errors; Electronic mail; Histograms; Image coding; Image enhancement; Image quality; Information processing; Information science; Piecewise linear techniques; Remote sensing; division point; image enhancement; minimum error threshold; piecewise linear transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.89
  • Filename
    5200204