@article{MAKHILLRJAS20138109338,
    title = {Performance Analysis of Impulse Noise Reduction using Pseudo Random Methodology},
    journal = {Research Journal of Applied Sciences},
    volume = {8},
    number = {10},
    pages = {501-506},
    year = {2013},
    issn = {1815-932x},
    doi = {rjasci.2013.501.506},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2013.501.506},
    author = {P. and},
    keywords = {Pseudo random,cloud,denoising,impulse noise,edge preserving},
    abstract = {In medical imaging, object enhancement and segmentation, the 
  impulse noise is occurred by affecting the original pixel values. The effective 
  denoising techniques are required for the image processing applications to remove 
  the impulse noise. Researchers have proposed a Pseudo Random algorithm for detection 
  and removal of impulse noises in images. In this research, Edge Preserving methodology 
  is proposed to detect the impulse noise affected pixels in a simplified manner 
  and those detected pixels are removed using cloud algorithm. The extensive experimental 
  results show that the proposed technique preserves the edge pixels and achieves 
  better performances in terms of quantitative evaluation and visual quality. 
  The proposed simulation results prove that the methodology has better performance 
  than the existing methodology for impulse noise detection and removal.}
    }