• DocumentCode
    582969
  • Title

    A Novel Approach for Color Image Enhancement Using Double Window Concept

  • Author

    Setty, Sreenivasa ; Srinath, N.K. ; Hanumantharaju, M.C.

  • Author_Institution
    Dept. of Inf. Sci. & Eng., Don Bosco Inst. of Technol., Bangalore, India
  • fYear
    2012
  • fDate
    14-15 Sept. 2012
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    In this paper, a new approach for the enhancement of color image using luminance and contrast enhancement based on double window concept has been presented. The proposed method exploits Hue-Saturation-Value (HSV) color space since the HSV space separates color from intensity. The hue and saturation components have been kept constant in order to avoid color distortion. In this work, the value component of the HSV has been modified in two steps. First, the non-linear transfer function is applied on the overlapping and non-overlapping window in order to enhance luminance part of the image. Further, the 2-D Gaussian filter has been used for contrast enhancement. The Gaussian filter enhances the darker pixel while neutralizing the over enhanced pixel. The modified value is combined with preserved hue and saturation components in order to obtain enhanced HSV image. Finally, the image from HSV color space is converted into RGB color space. The experimental results presented show that the color image enhanced by this algorithm is clearer, vivid and efficient.
  • Keywords
    Gaussian processes; brightness; filtering theory; image colour analysis; image enhancement; nonlinear functions; 2D Gaussian filter; HSV color space image enhancement; RGB color space; color distortion avoidance; contrast enhancement; darker pixel enhancement; double-window concept; enhanced pixel neutralization; hue-saturation-value color space; luminance enhancement; nonlinear transfer function; nonoverlapping window; overlapping window; Color; Conferences; Histograms; Image color analysis; Image enhancement; Image restoration; PSNR; Double Window; Image Enhancement; Non-Linear Function; Peak Signal to Noise Ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Sciences (ICCS), 2012 International Conference on
  • Conference_Location
    Phagwara
  • Print_ISBN
    978-1-4673-2647-6
  • Type

    conf

  • DOI
    10.1109/ICCS.2012.3
  • Filename
    6391658