A Novel Approach to Classify Noises in Images Using Artificial Neural Network
T. Santhanam and S. Radhika
DOI : 10.3844/jcssp.2010.506.510
Journal of Computer Science
Volume 6, Issue 5
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.
© 2010 T. Santhanam and S. Radhika. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.