• DocumentCode
    1768460
  • Title

    An enhanced histogram specification method using multiresolution

  • Author

    Kang Su-Min ; Huh Kyung-Moo ; Park Se-Hyuk ; Joo Young-Bok

  • Author_Institution
    Dept. of Electron. Eng., Dankook Univ., Cheonan, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    1565
  • Lastpage
    1570
  • Abstract
    The histogram specification turns a shape of a histogram into that we want to specify. This technique can be applied usefully in various image processing fields such as machine vision. However, the histogram specification technique has its basic limits. For instance, the histogram does not have location information of pixels. Also, the accuracy of specification drops because of quantization error of digitized image. In this paper, we proposed a multiresolution histogram specification method in order to improve the accuracy of specification in terms of resemblance between destination and source image. The experimental results show that the proposed method dramatically enhances the accuracy of specification compared to the conventional methods.
  • Keywords
    image resolution; quantisation (signal); destination image; digitized image; enhanced histogram specification method; image processing; machine vision; multiresolution histogram specification method; quantization error; source image; Educational institutions; Histograms; ISO standards; Image resolution; Transforms; X-ray imaging; Accuracy; Histogram; Multiresolution; Quantization; Specification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987804
  • Filename
    6987804