• DocumentCode
    167723
  • Title

    A study of changes in image contrast with various algorithms

  • Author

    Ionescu, Clara ; Fosalau, Cristian ; Petrisor, Daniel

  • Author_Institution
    Fac. of Electr. Eng., Tech. Univ. of Iasi, Iasi, Romania
  • fYear
    2014
  • fDate
    16-18 Oct. 2014
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    The contrast enhancement is an important part of the image enhancement process. The visual details become more visible in an image with a high level of contrast. There are more techniques to improve a contrast image. In this paper we analyze the contrast modification by three main methods: the histogram equalization method, local histogram equalization (LHE) method and contrast limited adaptive histogram equalization (CLAHE) method. The degree of contrast enhancement is measured using the root-mean-square (RMS) parameter.
  • Keywords
    image enhancement; mean square error methods; CLAHE method; LHE method; RMS parameter; contrast limited adaptive histogram equalization method; histogram equalization method; image contrast enhancement; image contrast modification; local histogram equalization method; root-mean-square parameter; Adaptive equalizers; Brightness; Digital images; Histograms; Image enhancement; Noise; Probability; contrast measurement; image contrast enhancement; image enhancement; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
  • Conference_Location
    Iasi
  • Type

    conf

  • DOI
    10.1109/ICEPE.2014.6969876
  • Filename
    6969876