| 小波图像融合的最佳参数研究 |
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| 引用本文： | 赵大鹏,时家明. 小波图像融合的最佳参数研究[J]. 激光与红外, 2007, 37(2): 189-193 |
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| 作者姓名： | 赵大鹏 时家明 |
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| 作者单位： | 解放军电子工程学院,安徽,合肥,230037;解放军电子工程学院,安徽,合肥,230037 |
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| 摘 要： | 为了选择一种在复杂条件下能取得较好效果的小波图像融合方法,文中对一些小波基和小波分解层数进行了比较.使用了基于区域的图像融合规则,同时通过量度融合图像的熵和标准差,进行多传感器图像融合效果的评价,通过对四类图像的融合实验,筛选出最佳的小波基和其分解层数.实验表明bior3.9是图像融合时的最佳小波基.
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| 关 键 词： | 图像融合 评价准则 融合性能 互信息量 |
| 文章编号： | 1001-5078（2007）02-0189-05 |
| 修稿时间： | 2006-07-05 |
Study on the Optimal Parameters of Image Fusion Based on Wavelet Transform |
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| ZHAO Da-peng; SHI Jia-ming. Study on the Optimal Parameters of Image Fusion Based on Wavelet Transform[J]. Laser & Infrared, 2007, 37(2): 189-193 |
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| Authors: | ZHAO Da-peng SHI Jia-ming |
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| Affiliation: | Electronic Engineering Institute; PLA; Hefei 230037; China |
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| Abstract: | In order to choose a good wavelet image fusion method in complicated conditions,some wavelet types and levels are analyzed and compared in this paper.Based on the region fusing rule,through calculating the entropy and the standard deviation of fused images,the fusion performances are evaluated.The optimal type and level of wavelet is selected by the experiments of four sorts of images.The experiments show that bior3.9 is the best wavelet in image fusion. |
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| Keywords: | ;image fusion; evaluation criterion; fusion performance; mutual information |
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