• DocumentCode
    3695506
  • Title

    Histogram based image enhancement for non-uniformly illuminated and low contrast images

  • Author

    Teck Long Kong;Nor Ashidi Mat Isa

  • Author_Institution
    Imaging and Intelligent Systems Research Team (ISRT), School of Electrical and Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    586
  • Lastpage
    591
  • Abstract
    Non-uniform illumination and low contrast are commonly encountered in low light level night vision equipment and mammogram. This study presents a new method to enhance the non-uniformly illuminated and low contrast images. The proposed method first derives a bright enhancer and a dark enhancer based on the resultant image produced by a mean filter. By applying enhancer on the image, the dark region would be brighter and bright region would be darker. This will improves the non-uniformly illuminated image. Both qualitative and quantitative analyses show that the proposed method has successfully produced better performance in term of measure of enhancement as compare to three state-of-art methods namely Histogram Equalization, Contrast-Limited Adaptive Histogram Equalization and Adjust Image Intensity Values which available in Matlab Image Processing Toolbox.
  • Keywords
    "Histograms","Brightness","Face","Lighting","Adaptive equalizers","MATLAB","Image processing"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on
  • Type

    conf

  • DOI
    10.1109/ICIEA.2015.7334179
  • Filename
    7334179