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In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear ltering. 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 signi cant 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, anddoi:10.1109/icip.1994.413621 dblp:conf/icip/Sucher94 fatcat:flv4mvkv3vcyxaffuiw2rdsyla