| 基于小波变换的图像融合 |
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| 引用本文： | 黄洪琼,温军燕.基于小波变换的图像融合[J].上海海事大学学报,2006,27(1):58-61. |
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| 作者姓名： | 黄洪琼 温军燕 |
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| 作者单位： | 1. 上海海事大学,信息工程学院,上海,200135
2. 杭州市市政设施监管中心,浙江,杭州,310006 |
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| 基金项目： | 上海市高等学校科学技术发展基金(05FZ0405FZ25) |
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| 摘 要： | 提出一种基于树状小波的图像融合,其基本思想是首先对源图像进行树状小波分解,之后采用基于像素、区域的选择或边缘检测的融合算法来构造融合图像的小波系数,最后通过树状小波逆变换重构得到融合图像.此外,利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析.实验结果表明该融合方法是有效的.
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| 关 键 词： | 小波 图像融合 树状小波 |
| 文章编号： | 1672-9498（2006）01-0058-04 |
| 收稿时间： | 2005-07-11 |
| 修稿时间： | 2005-12-12 |
Image fusion and it's evaluation based on wavelet transform |
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| HUANG Hongqlong,WEN Junyan.Image fusion and it''s evaluation based on wavelet transform[J].Journal of Shanghai Maritime University,2006,27(1):58-61. |
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| Authors: | HUANG Hongqlong WEN Junyan |
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| Institution: | 1. Information Eng. College, Shanghai Maritime Univ., Shanghai 200135 ,China; 2. Hangzhou Municipal Facilities SuperVision and Management Center, Hangzhou Zhejiang 310006,China |
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| Abstract: | An image fusion based on tree-wavelet is presented.Its basic thought is,to perform tree-wavelet decomposition of each source image firstly,then construct the wavelet coefficients of the fusion image by using pixelbased,area-based selection or edge-detect operator rules,finally obtain the fusion image by taking inverse tree-wavelet transformation.In addition,with the use of the parameters such as entropy,average of image,root mean square error,peak signal-to-noise ratio,the performance of the fusion scheme is evaluated and analyzed.The image fusion means is proved to be effective. |
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| Keywords: | wavelet image fusion tree-wavelet |
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