A Modified Median Filter for the Removal of Impulse Noise Based on the Support Vector Machines
نویسنده
چکیده
In this work we present a new approach for the median filter. We modify this nonlinear filter used in impulse noise removal by applying it only to the noisy pixels and by using a different pixel as output of the modified filter. The decision between the noisy and no noisy pixels is implemented by using the Support Vector Machines classification. We use this new classification tool because of its capability of generalization and the reduced number of training examples needed. The results presented show that this method slightly outperforms previous impulse noise removal methods, both in reconstruction error and in edge preservation. Besides, this method may be applied over highly corrupted images while maintaining the high quality in the recovered images. Key-Words: Enhancement, impulse noise, support vector machines, classification, median filter, nonlinear filtering.
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