• DocumentCode
    3776562
  • Title

    Hybrid binarization, histo-equalization: Comparison of old image enhancement techniques

  • Author

    Preeti Kale;S. T. Gandhe

  • Author_Institution
    Department Of Electronics and Telecommunication, Sandip Institute Of Technology and Research Center, Nasik, India
  • fYear
    2015
  • Firstpage
    182
  • Lastpage
    187
  • Abstract
    Due to aging factor and variations in the atmospheric conditions, old historic images starts degrading. To preserve them effectively we have to convert them in digital format and apply image enhancement algorithms. In this paper comparison of two image enhancement algorithms have been done. Hybrid Binarization and Histogram Equalization method. Qualities of the enhanced images are being measured by image statistics like PSNR, Mean, and Standard deviation. Results show that Hybrid binarization method performs better than Histogram Equalization both in visual perception and image metrics values.
  • Keywords
    "Histograms","Image enhancement","Wiener filters","Standards","Filtering algorithms","MATLAB","Filtering"
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ICIP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/INFOP.2015.7489374
  • Filename
    7489374