基于多小波提升格式的光学/被动毫米波图像融合  

Fusion of visual/PMMW image based on multi-wavelet lifting scheme

作　　者：柳菁[1] 聂建英[1] LIU Jing NIE Jianying(College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350116, China)

机构地区：[1]福州大学数学与计算机科学学院,福建福州350116

出　　处：《福州大学学报（自然科学版）》2017年第5期641-645,共5页Journal of Fuzhou University(Natural Science Edition)

基　　金：江苏省资源环境信息工程重点实验室基金资助(JS201104)

摘　　要：以安检中隐匿物品检测为应用背景,提出一种结合多小波变换和提升小波变换的图像融合算法.该方法首先对被动毫米波图和可见光图进行多小波预处理,并通过提升小波正变换分别得到两类图像的高、低频分量;然后对变换得到的低频分量和高频分量分别采用不同的融合规则融合;最后进行提升小波逆变换,及多小波后处理得到融合图像.实验仿真结果表明:融合效果较好,能实现对隐匿物品的快速识别.Put forward a method used in security check to deal with image fusion of visual image and PMMW image,basing on multi-wavelet transform and transform of lifting scheme.First,the passive millimeter-wave image and visible image are pretreated with multiwavelet,and the high and low frequency components of each image are obtained by the wavelet transform of lifting scheme.Then,the low-frequency components and the high frequency components of the transformation are fused by different fusion rules.Finally,get a new fusion image by the wavelet inverse transform and multi-wavelet reprocessing.The experiment results show that the method is effective,and the rapid recognition of hidden objects can be realized.

关 键 词：光学图像 被动毫米波图像 提升小波 多小波 图像融合 

分 类 号：TN015[电子电信—物理电子学]