Research Article Open Access

A Novel Approach to Classify Noises in Images Using Artificial Neural Network

T. Santhanam1 and S. Radhika1
  • 1 ,
Journal of Computer Science
Volume 6 No. 5, 2010, 506-510

DOI: https://doi.org/10.3844/jcssp.2010.506.510

Submitted On: 19 April 2010 Published On: 31 May 2010

How to Cite: Santhanam, T. & Radhika, S. (2010). A Novel Approach to Classify Noises in Images Using Artificial Neural Network. Journal of Computer Science, 6(5), 506-510. https://doi.org/10.3844/jcssp.2010.506.510

Abstract

Problem statement: Noise identification is predominant in any digital image processing algorithms, which helps in identifying the filters to smooth the image for further processing. Approach: An Artificial Neural Network (ANN) based approach was proposed for noise identification. The suggested technique involved seclusion of the noise samples and extracts their statistical features, which was then applied to a neural network to identify the noise. Results: Neural networks provided a better solution in identifying the noise. Conclusion: By identifying the noise the precise filter can be used for enhancing the given image.

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Keywords

  • Image noise
  • statistical parameters
  • ANN