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Journal of Computer Science
Year: 2010  |  Volume: 6  |  Issue: 5  |  Page No.: 506 - 510

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

T. Santhanam and S. Radhika    

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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