@article {10.3844/jcssp.2010.506.510,
article_type = {journal},
title = {A Novel Approach to Classify Noises in Images Using Artificial Neural Network},
author = {Santhanam, T. and Radhika, S.},
volume = {6},
number = {5},
year = {2010},
month = {May},
pages = {506-510},
doi = {10.3844/jcssp.2010.506.510},
url = {https://thescipub.com/abstract/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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}