中南民族大学学报（自然科学版）2018，Vol.37Issue(2)：74-79,6.
NSCT域梯度加权的红外与可见光图像融合
Fusion of Infrared and Visible Images Based on Weighted Gradient in NSCT Domain
摘要
Abstract
A fusion method of infrared and visible images based on weighted gradient in NSCT(WGN)domain is proposed in this paper.The two source images are firstly decomposed into the corresponding low-pass components and the high-pass ones by non-subsampled contourlet transform,which is under the multi-scale transform based fusion framework.Then,the low-pass components are fused by the proposed weighted gradient fusion rule,and the high-pass components are fused by the rule of selecting maximal absolute values of coefficients.Finally,the fused image is obtained by performing the inverse NSCT on the merged coefficients.The low-pass coefficients fused by the weighted gradient method preserve more desirable information from source images.Large amounts of experimental results demonstrate that this fusion method can effectively improve the performance for the fusion of images with markedly enhancing the contrast of the fused image,and thus the fused image has better image quality and observability.关键词
图像融合/可见光图像/红外图像/非下采样轮廓波变换/梯度加权Key words
image fusion/visible images/infrared images/NSCT/weighted gradient分类
信息技术与安全科学引用本文复制引用
熊承义,张梦杰,高志荣,龚忠毅..NSCT域梯度加权的红外与可见光图像融合[J].中南民族大学学报（自然科学版）,2018,37(2):74-79,6.基金项目
国家自然科学基金资助项目(61471400) （61471400）
