| 基于小波变换的区域特征加权自适应图像融合算法 |
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| 引用本文： | 郑永安,宋建社,曹继平,刘迎春. 基于小波变换的区域特征加权自适应图像融合算法[J]. 计算机工程与应用, 2004, 40(6): 94-95,127 |
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| 作者姓名： | 郑永安 宋建社 曹继平 刘迎春 |
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| 作者单位： | 西安高技术研究所,西安,710025;西安高技术研究所,西安,710025;西安高技术研究所,西安,710025;西安高技术研究所,西安,710025 |
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| 基金项目： | 国家自然科学基金重点资助项目(编号:69931040 |
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| 摘 要： | 提出了一种基于小波变换的区域特征加权自适应图像融合算法。首先对源图像做小波变换,分解成低频和高频图像,分解后的低频图像选取一组区域特征进行自适应动态加权,高低频图像采用区域能量融合规则,再对得到的低频和高频图像进行小波反变换。实验结果表明该方法能得到较好的融合效果。
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| 关 键 词： | 图像融合 小波变换 Mallat算法 区域特征 自适应融合 |
| 文章编号： | 1002-8331-(2004)06-0094-02 |
Weighting of Regional Features Self-Adaptive Image Fusion Method Based on Wavelet Transform |
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| Zheng Yong''''an Song Jianshe Cao Jiping Liu Yingchun. Weighting of Regional Features Self-Adaptive Image Fusion Method Based on Wavelet Transform[J]. Computer Engineering and Applications, 2004, 40(6): 94-95,127 |
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| Authors: | Zheng Yong''''an Song Jianshe Cao Jiping Liu Yingchun |
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| Abstract: | In this paper,a weighting of regional features self-adaptive image fusion method based on wavelet transform is proposed.Firstly,the wavelet transform is used to perform a multiscale decomposition of each image.Then,a set of re-gional features are extracted respectively from low-frequency images.To high-frequency images,some special regional en-ergy rules are used.The result images is generated by reverse wavelet transform based on the low and high frequency images.The experiment result appears the proposed method makes obviously effects. |
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| Keywords: | Image Fusion Wavelet Transform Mallat algorithm Region Features Self-adaptive Fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
