电子科技大学学报2017，Vol.46Issue(2)：357-362,6.DOI:10.3969/j.issn.1001-0548.2017.02.007
基于视觉显著性和NSCT的红外与可见光图像融合
Infrared and Visible Image Fusion Based on Visual Saliency and NSCT
摘要
Abstract
An infrared and visible image fusion algorithm is proposed based on visual saliency and non-subsampled contourlet transform (NSCT). At first, the frequency tuned saliency detection method is improved by guided filter and applied to detect the saliency of infrared image. Then the infrared and visible light images are decomposed into low frequency and high-frequency sub-bands by NSCT. Finally the saliency map of infrared image is used to guide the fusion in low frequency sub-band, and the rule of maximum absolute value selection is used for the fusion in high frequency sub-band. Experimental results demonstrate that compared to several other algorithms, the proposed method highlights the IR targets and at the same time makes the fusion images have rich background information, and better visual fusion effects and objective quality evaluations are obtained.关键词
引导滤波器/图像融合/非下采样轮廓波变换/显著性Key words
guided filter/image fusion/NSCT/saliency分类
信息技术与安全科学引用本文复制引用
傅志中,王雪,李晓峰,徐进..基于视觉显著性和NSCT的红外与可见光图像融合[J].电子科技大学学报,2017,46(2):357-362,6.基金项目
国家自然科学基金面上项目(61075013, 61671126) （61075013, 61671126）
