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基于非下采样轮廓波的多源图像融合
引用本文:李红,吴粉侠,于亚龙,李功玉.基于非下采样轮廓波的多源图像融合[J].航空计算技术,2013(5):49-51.
作者姓名:李红  吴粉侠  于亚龙  李功玉
作者单位:成阳师范学院信息工程学院,陕西咸阳712000
基金项目: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。

关 键 词:图像融合  非下采样轮廓波  区域能量  领域方差

Multi- source Image Fusion Based on NSCT
Institution:LI Hong, WU Fen- xia, YU Ya- long, LI Gong- yu ( School of Information Engineering, Xianyang Normal University,Xianyang 712000, China)
Abstract: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.
Keywords:image fusion  NSCT  weighted average  variance of the neighborhood
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