A New Image De-noising Algorithm Combined PCNN with Gray-Scale Morphology

doi:10.13190/jbupt.200802.108.mayd

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2008, Vol. 31 ›› Issue (2): 108-112.doi: 10.13190/jbupt.200802.108.mayd

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A New Image De-noising Algorithm Combined PCNN with Gray-Scale Morphology

MA Yi-de, ZHANG Hong-juan

School of Information Science & Engineering, Lanzhou University，Lanzhou 730000,China

Received:2007-06-08 Revised:1900-01-01 Online:2008-04-28 Published:2008-04-28
Contact: MA Yi-de

Abstract

Abstract:

Under summarizing the characteristics of pulse noise, the pulse coupled neural network (PCNN) is combined with gray-scale morphology, and a new pulse noise removing algorithm based on PCNN and gray-scale morphology is proposed. Firstly, the noisy points are located using the synchronous pulse burst property of PCNN, then, are processed using the gray-scale open-close filtering. Finally the algorithm is compared with median filtering, gray-scale open-close filtering and with the algorithm combined PCNN with median filtering. Experimental results show that the proposed algorithm performs well。However，it is at a cost of more calculating time than median filtering and gray-scale open-close filtering. But, with similar results, it spends less time than that of the algorithm combined PCNN with median filtering.

Key words: pulse coupled neural network, median filtering, morphological filtering, pulse noise, peak signal-to-noise ratio

CLC Number:

TN911.73

MA Yi-de, ZHANG Hong-juan
. A New Image De-noising Algorithm Combined PCNN with Gray-Scale Morphology[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2008, 31(2): 108-112.

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A New Image De-noising Algorithm Combined PCNN with Gray-Scale Morphology

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