电子学报2016，Vol.44Issue(4)：761-766,6.DOI:10.3969/j.issn.0372-2112.2016.04.002
NSCT域内结合边缘特征和自适应PCNN的红外与可见光图像融合
Fusion of Infrared and Visible I mages Based on Edge Featu re and Adaptive PCNN in NSCT Do main
摘要
Abstract
To improve the contrast and preserve more image details in the fusion of infrared and visible images,a fusion method for infrared and visible images based on nonsubsampled contourlet transform (NSCT)combined with image edge fea-ture and adaptive pulse coupled neural network (PCNN)is proposed.For the low frequency subband,the fusion is based on edges of images.For the high frequency subbands,the orientation information of each pixel in images is utilized as the linking strength,and a modified spatial frequency is adopted as the input to motivate the adaptive PCNN,and the fire amplitude is em-ployed to determine the coefficients selection.Experimental results indicate the effectiveness of the proposed algorithm.关键词
图像融合/非下采样Contourlet变换/脉冲耦合神经网络/边缘特征/空间频率/红外图像Key words
image fusion/nonsubsampled contourlet transform/pulse coupled neural network/edge feature/spatial frequency/infrared image分类
信息技术与安全科学引用本文复制引用
闫利,向天烛..NSCT域内结合边缘特征和自适应PCNN的红外与可见光图像融合[J].电子学报,2016,44(4):761-766,6.基金项目
国家自然科学基金 （）
