非下采样轮廓波的多源图像融合  

Multi-source Image Fusion Based on NSCT

作　　者：李红[1] 吴粉侠[1] 于亚龙[1] 李功玉[1] 

机构地区：[1]咸阳师范学院信息工程学院,陕西咸阳712000

出　　处：《航空计算技术》2013年第5期49-51,共3页Aeronautical Computing Technique

基　　金：陕西省教育厅专项科研计划项目资助(09JK811);咸阳师范学院科研基金项目资助(11XSYK329);咸阳师范学院教改项目资助(200902026);咸阳师范学院大学生创新创业项目资助(201210722028)

摘　　要：利用非下采样轮廓波(NSCT)对源图像进行多尺度、多方向分解,对分解后的低频子带系数采用区域能量的融合规则,对高频子带系数采用基于领域方差加权平均的融合规则,对融合后的系数经过NSCT逆变换得到融合图像。实验结果表明,在主观视觉和客观评价指标上均优于其他对比方法。This paper is mainly to discuss multi- source image fusion technology. The NSCT has many fea- tures which is the shift- invariant, multi- resolution, muhidirectional and avoids Gibbs phenomenon. Two primitive matched images are decomposed in NSCT domain. The low frequency used the weighted aver- age, while the high frequency coefficients was fused by weighted average of the variance of the neighbor- hood. Finally,the fused result is obtained through inverse NSCT. Experimental results show that the pro- posed fusion algorithm which has a better visuals and better evaluation are significantly better than the comparative experiment.

关 键 词：图像融合 非下采样轮廓波 区域能量 领域方差 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]