@article{MAKHILLAJIT20141355830,
    title = {Performance Analysis of Histogram Equalization Based Techniques for Image Contrast Enhancement},
    journal = {Asian Journal of Information Technology},
    volume = {13},
    number = {5},
    pages = {287-290},
    year = {2014},
    issn = {1682-3915},
    doi = {ajit.2014.287.290},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2014.287.290},
    author = {V. and},
    keywords = {Contrast enhancement,histogram equalization,histogram modification,image enhancement,brightness},
    abstract = {Image enhancement improves an image appearance by increasing 
  dominance of some features or by decreasing ambiguity between different regions 
  of the image. Histogram based image enhancement technique is mainly based on 
  equalizing the histogram of the image and increasing the dynamic range corresponding 
  to the image. Histogram Equalization is one of the common methods used for improving 
  contrast in digital images. As a result, such image creates side-effects such 
  as washed out appearance and false contouring due to the significant change 
  in brightness. In order to overcome these problems, mean brightness preserving 
  HE based techniques have been proposed. Generally, these methods partition the 
  histogram of the original image into sub-histograms and then independently equalize 
  each subhistogram with histogram equalization. This study presents a review 
  of recent histogram based techniques for still image contrast enhancement. Comparisons 
  with the best available results are given in order to illustrate the best possible 
  technique that can be used as powerful image enhancement.}
    }