A New Image Denoising Algorithm Combined PCNN with Gray-Scale Morphology
Hongjuan Zhang · Beijing Youdian Xueyuan xuebao · 2008
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 locally processed using the gray-scale open-close filter.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.