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

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Author(s): T. Santhanam | S. Radhika

Journal: Journal of Computer Science
ISSN 1549-3636

Volume: 6;
Issue: 5;
Start page: 506;
Date: 2010;
Original page

Keywords: Image noise | statistical parameters | ANN

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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