Friday 29th of March 2024
 

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


Dr. T. Santhanam and S. Radhika

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.

Keywords: Image enhancement, Noise and Filter classification, neural networks.

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ABOUT THE AUTHORS

Dr. T. Santhanam
Dr. T. Santhanam is working as Associate Professor and Head in D. G. Vaishnav College, Chennai. He is having over 20 years of experience in teaching and has many research publications in international journals and conferences. His areas of interest are Biometrics, Image Processing, Neural Networks and Data mining.

S. Radhika
S. Radhika is working as Associate Professor in R. M. K. Engineering College and is pursuing her research in D. G. Vaishnav College affiliated to University of Madras, under the supervision of Dr. T. Santhanam. Her research interests are Image Processing and Artificial Neural Networks.


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