• DocumentCode
    117662
  • Title

    Segmentation based extended piecewise maximum entropy histogram for image enhancement

  • Author

    Garg, Nidhi ; Srivastava, Gaurav ; Sengar, Prateek Singh

  • Author_Institution
    Div. of Electron. & Commun., Univ. of Delhi, New Delhi, India
  • fYear
    2014
  • fDate
    20-21 Feb. 2014
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    Histogram Equalization is an important tool to process the digital images for the purpose of image enhancement and normalization. But in some cases, it may cause bad results. Recently, a Piecewise Maximum Entropy Histogram technique was proposed, yet still with some limitations since it possesses less dynamic range problem. In this paper we present an Extended PME technique which reflects better result than the conventional one and yields more dynamic range so that better contrast enhancement of an image is achieved. Experimental results and comparison between a number of techniques on the basis of Absolute mean brightness error (AMBE), PSNR, Entropy and Standard Deviation values is presented.
  • Keywords
    entropy; image enhancement; image segmentation; piecewise constant techniques; AMBE; PSNR; absolute mean brightness error; contrast enhancement; digital images; dynamic range problem; extended PME technique; histogram equalization; image enhancement; normalization; piecewise maximum entropy histogram technique; segmentation based extended piecewise maximum entropy histogram; standard deviation values; Brightness; Dynamic range; Entropy; Histograms; Probability density function; Signal processing; Standards; Contrast enhancement; Maximum Entropy; Performance Comparison; Piecewise Maximum Entropy (PME);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-2865-1
  • Type

    conf

  • DOI
    10.1109/SPIN.2014.6776942
  • Filename
    6776942