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A novel nonlinear filter using layered neural networks

✍ Scribed by Mitsuji Muneyasu; Takahiro Maeda; Tomonori Yakao; Takao Hinamoto

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
487 KB
Volume
335
Category
Article
ISSN
0016-0032

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✦ Synopsis

This paper proposes a novel realization ~[' nonlinear .filters suitable ./br the edgepreservhl 9 smoothhl# q/'an hnage degraded by a mixed noise environment composed o/the Gaussian and impulsive noises. This.filter consists qf a layered neural network and a median filter. By using layered neural networks, the parameters ~/' the proposed filter can adapt itsel/ to the various noisy environments through the learning ~[a training image. The trahffn.q method ~[ the parameter ~/ response Junctions is also proposed. These parameters have important (ff~,ets for the per[ormanee 0[ the proposed filters. An example is shown to illustrate the utilio, ~[" the proposed filter.

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