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Application of Neural Networks for Noise and Filter Classification to enhance the Image Quality

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

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 8;
Issue: 5;
Start page: 314;
Date: 2011;
Original page

Keywords: Image enhancement | Noise and Filter classification | neural networks. | IJCSI

Image processing operations can be categorized into three major categories: image enhancement, image compression and image restoration. The objective of image enhancement is to improve the insight of the information in images for human viewing or to be used as a preprocessing tool for other image processing techniques. Filtering techniques play a crucial role in enhancing the quality of an image. This article explores the possibility of using an Artificial Neural Network for image noise classification followed by the suitable filter classification. Probabilistic Neural Network strikes a superior performance in identifying the noise as well as the suitable filter for the removal of a specific type of noise.
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