• DocumentCode
    191079
  • Title

    A novel image green enhancement method based on luminance and hue

  • Author

    Man Fan ; Ke Liu ; Jun Yu ; Lei Shen ; Yuan Yao ; Chenyu Wang

  • Author_Institution
    Shanghai Fudan Microelectron. Group Co. Ltd., Shanghai, China
  • fYear
    2014
  • fDate
    5-8 Aug. 2014
  • Firstpage
    834
  • Lastpage
    837
  • Abstract
    This paper proposes an image green enhancement method based on luminance and hue. In the current algorithm, there are two main issues, i.e., the presence of over-saturation and color deviation, which can not satisfy people´s demands for stronger green enhancement. To solve these problems, the correct mathematical model about luminance on chrominance constraint relations is proposed and an appropriate product factor list is obtained. The MATLAB simulation images show that the proposed method effectively enhances the green color and at the same time avoid the problems of over-saturation and color deviation.
  • Keywords
    image colour analysis; image enhancement; chrominance constraint relation; color deviation; hue; image green enhancement; luminance; over-saturation; product factor list; Color; Equations; Hardware; Image color analysis; MATLAB; Mathematical model; Vectors; color deviation; green enhancement; hue; luminance; over-saturation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4799-5272-4
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2014.6986314
  • Filename
    6986314