Two Stage Impulse Noise Removal Technique Based on Neural Network and Fuzzy Decisions
Impulse Noise Reduction is very active research area in image processing. It is one of the important processes in the pre-processing of Digital Images. There are many techniques to remove the noise from the image and produce the clear visual of the image. Also there are several filters and image smoothing techniques available. All these available techniques have certain limitations. Recently, neural network are found to be very efficient tool for image Enhancement. In this, a two-stage noise removal technique to deal with impulse noise is proposed.
Provided by: International Journal of Computer Applications Topic: Software Date Added: Jan 2012 Format: PDF