| 基于二维提升小波变换的图像融合 |
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| 引用本文： | 何伟.基于二维提升小波变换的图像融合[J].数字社区&智能家居,2009(7). |
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| 作者姓名： | 何伟 |
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| 作者单位： | 湖北大学数学与计算机科学学院; |
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| 摘 要： | 将图像进行提升小波变换,分别对高低频采用不同的融合方法,得到融合后图像。并引入信息熵、相关系数和清晰度等性能指标对融合后的图像进行分析。实验结果表明,此提升方法在融合图像质量上优于传统小波变换。
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| 关 键 词： | 提升小波变换 图像融合 邻域空间频率 |
Image Fusion Based on the Lifting 2-D Wavelet Transform |
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| HE Wei,LIU Bin.Image Fusion Based on the Lifting 2-D Wavelet Transform[J].Digital Community & Smart Home,2009(7). |
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| Authors: | HE Wei LIU Bin |
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| Affiliation: | College of Mathematics and Computer Science;Hubei University;Wuhan 430062;China |
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| Abstract: | Two registered images were decomposed by lifting wavelet transform,the high-frequency and low-frequency signals were adopted different fusion method.The fusion image was gained by reconstruction.Comparing the performance of entropy,correlation co-efficient and image definition,this lifting transform is better than the traditional wavelet transform. |
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| Keywords: | lifting wavelet transform image fusion neighborhood space-frequency |
| 本文献已被 CNKI 等数据库收录！ |
