@article{MAKHILLAJIT20121145709,
    title = {A Novel Method for the Removal of High Density Salt and Pepper Noise in Grayscale and Color Images},
    journal = {Asian Journal of Information Technology},
    volume = {11},
    number = {4},
    pages = {135-143},
    year = {2012},
    issn = {1682-3915},
    doi = {ajit.2012.135.143},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2012.135.143},
    author = {K. and},
    keywords = {Image processing,image denoising,image enhancement,image reconstruction,image restoration},
    abstract = {Mean of unsymmetrical trimmed variants is used as a detector 
  for the detection of fixed valued impulse noise is proposed. A fixed 3x3 window 
  is kept constant for the increasing noise densities. The processed pixel is 
  considered as noisy if the absolute difference between processed pixels and 
  mean of unsymmetrical trimmed variants is greater than fixed threshold. Under 
  high noise densities if the processed pixel is noisy and computed median is 
  also noisy then replace the processed pixel with mean of unsymmetrical trimmed 
  variants else if the processed pixel is noisy and computed median is not noisy 
  then the corrupted pixel is replaced by computed median else the pixel is termed 
  uncorrupted and it is left unaltered. If the entire pixels of the current processing 
  window are noisy then global mean of the image is replaced as output. The Proposed 
  Algorithm (PA) is tested on different varying detail images. The proposed algorithm 
  is compared with the standard algorithms and found to give good results both 
  qualitative and quantitatively for increasing noise densities.}
    }