In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear filtering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a significant gain in performance can be achieved with considerably smaller complexity. Further, we show that the basic system is not restricted to the removal of impulse noise only, and present a generalization for arbitrary noise distributions.<>
Removal of impulse noise by selective filtering
Proceedings of 1st International Conference on Image Processing ; 2 ; 502-506 vol.2
01.01.1994
456595 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Removal of Impulse Noise by Selective Filtering
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