微型机与应用2016，Vol.35Issue(23)：46-48,55,4.DOI:10.19358/j.issn.1674-7720.2016.23.013
一种新的结合 NSCT和 PCNN的图像融合方法
A novel image fusion method based on NSCT and PCNN
摘要
Abstract
Considering the wavelet transform has some limitations , a novel image fusion method based on the combination of Nonsubsampled Contourlet Transform(NSCT) and Pulse Coupled Neural Networks (PCNN) is proposed.Firstly,the registered original images are decomposed at multi-scale and multi-direction by NSCT.Then, the fusion method combing improved edge energy with spatial frequency is used in the low frequency part .Simplified mathematical model of PCNN is used in the high frequency part .Improved sum of Laplaceenergy is used as linking strength of PCNN .The high frequency fusion coefficients are acquired by the method of combing the fire numbers with the standard deviation of the fire mapping images.Finally, the fusion image is obtained by inverse NSCT .The experimental analysis show that the novel method has high-er quality fusion image than the other several methods .关键词
图像融合/非下采样轮廓波变换/脉冲耦合神经网络/边缘能量/拉普拉斯能量和Key words
image fusion/Nonsubsampled Contourlet Transform(NSCT)/Pulse-Coupled Neural Network(PCNN)/edge energy/the sum of Laplace energy分类
计算机与自动化引用本文复制引用
杨丹,何建农..一种新的结合 NSCT和 PCNN的图像融合方法[J].微型机与应用,2016,35(23):46-48,55,4.基金项目
国家自然科学基金项目 （）
