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1 Journal of Medical Informatics & Technologies

1 2000

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New color image impulsive noise reduction algorithm

Smolka B., Wojciechowski K., Plataniotis K.N., Venetsanopoulos A.N.

Journal of Medical Informatics & Technologies

2000

Vol. 1

IT 87--90

In this paper a new approach to the problem of impulsive noise reduction for color images is introduced. The presented self-adaptive image filter is based on a model of a virtual particle, which performs a random walk on the image lattice, with transition probabilities derived from the Gibbs distribution. The major advantage of the new filtering technique, is that it filters out the noise component, while adapting itself to the local image structures. In this way the new algorithm is able to eliminate strong impulsive noise, while preserving edges and fine image details. As the algorithm is a fuzzy modification of the commonly used vector median operator, it is very fast and easy to implement. Our results show that the proposed method outperforms all standard algorithms of the reduction of impulsive noise in color images.