| 基于期望值最大算法和离散小波框架的图像融合 |
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| 引用本文： | 刘刚,敬忠良,孙韶媛.基于期望值最大算法和离散小波框架的图像融合[J].自动化学报,2005,31(5):699-704. |
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| 作者姓名： | 刘刚 敬忠良 孙韶媛 |
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| 作者单位： | 1.Institute of Aerospace Information and Control, School of Electronic, Information and Electrical Engineering,Shanghai Jiaotong University, Shanghai 200030 |
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| 基金项目： | Supported by National Natural Science Foundation of P.R.China (60375008),Shanghai Key Scientific Project (02DZ15001),China Ph.D.Discipline Special Foundation (20020248029) and China Aviation Science Foundation (02D57003) |
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| 摘 要： | The discrete wavelet transform has become an attractive tool for fusing multisensor images. This paper investigates the discrete wavelet frame transform. A major advantage of this method over discrete wavelet transform is aliasing free and translation invariant. The discrete wavelet frame (DWF) transform is used to decompose the registered images into multiscale representation with the low frequency and the high frequency bands. The low frequency band is normalized and fused by using the expectation maximization (EM) algorithm. The informative importance measure is applied to the high frequency band. The final fused image is obtained by taking the inverse transform on the composite coefficient representations. Experiments show that the proposed method is more effective than conventional image fusion methods.
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| 关 键 词： | Image fusion maximization algorithm discrete wavelet frame transform |
| 收稿时间： | 2004-05-26 |
| 修稿时间： | 2005-01-18 |
Image Fusion Based on EM Algorithm and Discrete Wavelete Frame |
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| LIU Gang,JING Zhong-Liang,SUN Shao-yuan.Image Fusion Based on EM Algorithm and Discrete Wavelete Frame[J].Acta Automatica Sinica,2005,31(5):699-704. |
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| Authors: | LIU Gang JING Zhong-Liang SUN Shao-yuan |
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| Affiliation: | 1.Institute of Aerospace Information and Control, School of Electronic, Information and Electrical Engineering,Shanghai Jiaotong University, Shanghai 200030 |
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| Abstract: | The discrete wavelet transform has become an attractive tool for fusing multisensor images.This paper investigates the discrete wavelet frame transform.A major advantage of this method over discrete wavelet transform is aliasing free and translation invariant.The discrete wavelet frame(DWF)transform is used to decompose the registered images into multiscale representation with the low frequency and the high frequency bands.The low frequency band is normalized and fused by using the expectation maximization(EM)algorithm.The informative importance measure is applied to the high frequency band.The final fused image is obtained by taking the inverse transform on the composite coefficient representations.Experiments show that the proposed method is more effective than conventional image fusion methods. |
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| Keywords: | Image fusion expectation maximization algorithm discrete wavelet frame transform |
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