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The Research of Hybrid Noise Filtering for Images Based on Pulse Coupled Neural Network
ZHANG Yan-zhu,LI Yuan,LI Xiao-juan
Control Engineering of China    2013, 20 (5): 829-832.  
Abstract3818)            Save

To the speciality of mixed noise constituted by pulse noise and Gauss noise,we present a comprehensive algorithm in this
text,which is based on the simplified PCNN model,utilizing several technique specialities of the model,selecting parameters properly,
and combining with mathematical morphology method,median filtering and wiener filtering. This method performs better than average
filters and median filters on hybrid noise reduction while retaining edges and detail information of the image. Experiments show that the
effect of eliminating grey image mixed noise which applying the simplified PCNN eliminating algorithm proposed in this paper is good.
This algorithm can show a big advantage when in the comparison with other algorithms. This algorithm not only can effectively filter hybrid
noise but also can excel in real-time tasks because of its reduced computation complexity. With the increase of the image populated
by blends noise,the advantage is obvious.

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