关键词: 图像滤波, 脉冲耦合神经网络, 单一链接PCNN, 脉冲噪声

Abstract: A novel method，called Single-Linking Pulse-Coupled Neural Network（SL-PCNN），is proposed to filter impulse noise while keeping image details.The SL-PCNN simplifies the related parameters of conventional PCNN and the threshold can be adaptively selected while no iteration is required，which a noisy pixels can be identified by two times of firing process on the original image and the reversed image.Subsequently，the noisy pixels are filtered by a median filter while keeping the fine information-bearing details.The proposed method can adaptively determine the filtering times based on the noise intensity.The method demonstrates better performance compared to conventional impulse noise filters when the noise intensity is no more than 60% and to PCNN based impulse noise filters when the noise intensity is high.Experimental results on visual illustration and subjective indices show the effectiveness of SL-PCNN.

Key words: image filtering, Pulse-Coupled Neural Network（PCNN）, Single-Linking PCNN（SL-PCNN）, impulse noise