福州大学学报（自然科学版）2017，Vol.45Issue(6)：788-793,6.DOI:10.7631/issn.1000-2243.2017.06.0788
基于NSCT变换与压缩感知的红外/被动毫米波图像融合
Fusion algorithm for IR/PMMW image based on NSCT and compressive sensing
摘要
Abstract
To improving the quality of the image and real-time transmission efficiency, a image fusion algorithm based on non-subsampled contourlet transform and compressive sensing is presented. First-ly, the original images were take the non-subsampled contourlet transform decomposition. Second, the fusion ruler for high frequency coefficients is based on compressive sensing;The low frequency coeffi-cients is based on image variance. Finally the fusion image is obtained by taking the inverse transform. The experimental results show that the fusion image of the algorithm can identify the target tank well.关键词
图像融合/非下采样轮廓波/压缩感知/红外/被动毫米波复合制导Key words
image fusion/non-subsampled contourlet transform/compressive sensing/IR/PMMW composite guidance分类
信息技术与安全科学引用本文复制引用
林晨晖,聂建英..基于NSCT变换与压缩感知的红外/被动毫米波图像融合[J].福州大学学报（自然科学版）,2017,45(6):788-793,6.基金项目
江苏省资源环境信息工程重点实验室基金资助项目( JS201104) （ JS201104）
