基于非下采样轮廓波的多源图像融合 |
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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, 0(5): 49-51 |
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作者姓名: | 李红 吴粉侠 于亚龙 李功玉 |
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作者单位: | 成阳师范学院信息工程学院,陕西咸阳712000 |
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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) |
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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。
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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 |
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Affiliation: | LI Hong, WU Fen- xia, YU Ya- long, LI Gong- yu ( School of Information Engineering, Xianyang Normal University,Xianyang 712000, China) |
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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. |
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Keywords: | image fusion NSCT weighted average variance of the neighborhood |
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