计算机工程与应用2011，Vol.47Issue(27)：212-215,4.DOI:10.3778/j.issn.1002-8331.2011.27.058
单一链接PCNN自适应脉冲噪声滤波
Adaptive pulse noise filter by using single-linking Pulsed-Couple Neural Network
摘要
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.关键词
图像滤波/脉冲耦合神经网络/单一链接PCNN/脉冲噪声Key words
image filtering/Pulse-Coupled Neural Network(PCNN)/Single-Linking PCNN(SL-PCNN)/impulse noise分类
信息技术与安全科学引用本文复制引用
李海燕,张榆锋,徐丹,施心陵..单一链接PCNN自适应脉冲噪声滤波[J].计算机工程与应用,2011,47(27):212-215,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60861001) （the National Natural Science Foundation of China under Grant No.60861001）
云南大学校级理工基金(No.2008YB009) （No.2008YB009）
云南大学第二批中青年骨干教师基金(No.21132014). （No.21132014）
