基于非下采样Contourlet变换的图像融合算法  

An Image Fusion Algorithm Based on Non-subsampled Contourlet Transform

作　　者：韩双喜[1] 储彬彬[1] 汪冬梅 

机构地区：[1]解放军炮兵学院五系,安徽合肥230031 [2]安徽省怀宁县广播电视局,安徽怀宁246121

出　　处：《电子质量》2010年第1期1-3,共3页Electronics Quality

摘　　要：针对曲波变换图像融合的不足,提出了一种基于非下采样轮廓波变换(Non-subsampled Contourlet Transform,NSCT)图像融合方法。首先对已配准待融合图像进行NSCT分解;然后使用相应的融合规则对Contourlet域系数进行融合,得到融合图像的NSCT系数;最后经逆变换重构得到融合图像。通过对不同曝光度图像以及多聚焦图像进行融合实验,仿真结果表明该算法融合图像在主观视觉和客观评价指标上均取得良好效果。To overcome the defects of image fusion algorithm using Curvelet transform, an image fusion algorithm based non-subsarnpled Contourtet transform is put forward in this paper. First, the input registered images are decomposed by NSCT. Second, the Contourlet domain coefficients in different scales and directions are fused by corresponding rules. At last the fusion image is acquired by reeomposing the fused coefficients, Via fusion experiments about overexposure image with underexposure image and mufti-focus images, the simulation resuits show that this scheme has acquired promising results both in the subjective vision aspect and the objective assessment parameters.

关 键 词：图像融合 多尺度几何分析 非下采样轮廓波变换 曲波变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]