| 双树复小波变换及其应用综述 |
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| 引用本文： | 石宏理,胡波.双树复小波变换及其应用综述[J].太赫兹科学与电子信息学报,2007,5(3):229-234. |
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| 作者姓名： | 石宏理 胡波 |
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| 作者单位： | 复旦大学,电子工程系,上海,200433 |
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| 摘 要： | 双树复小波变换是为克服通常的离散小波变换的缺陷而提出的。当对应小波基（近似）满足Hilbert变换关系时，双树复小波变换能够极大地减小通常的实小波变换中的平移敏感性，改善方向选择性。这些优点使双树复小波变换成为有效的图像配准融合工具，能够显著提高配准融合质量。
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| 关 键 词： | 离散小波变换 双树复小波变换 Hilbert变换 图像配准 图像融合 |
| 文章编号： | 1672-2892（2007）03-0229-06 |
| 修稿时间： | 2007-04-252007-05-25 |
Survey of Dual-Tree Complex Wavelet Transform and Its Applications |
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| SHI Hong-li,HU Bo.Survey of Dual-Tree Complex Wavelet Transform and Its Applications[J].Journal of Terahertz Science and Electronic Information Technology,2007,5(3):229-234. |
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| Authors: | SHI Hong-li HU Bo |
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| Affiliation: | Department of Electronics Engineering, Fudan University, Shanghai 200433, China |
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| Abstract: | The Dual-Tree Complex Wavelet Transform(DT CWT) has been proposed to overcome the drawbacks of the real Discrete Wavelet Transform(DWT).DT CWT can reduce shift sensitivity and improve directional selectivity of real DWT when the corresponding wavelets form Hilbert transform pairs.Therefore,DT CWT becomes a potential efficient tool in image processing,which can improve the performances of image registration and fusion greatly. |
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| Keywords: | DWT DT CWT Hilbert transform image registration image fusion |
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