| 双密度双树复小波域多聚焦图像融合 |
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| 引用本文： | 陈广秋,高印寒,刘妍妍. 双密度双树复小波域多聚焦图像融合[J]. 计算机工程与应用, 2013, 49(10): 180-183 |
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| 作者姓名： | 陈广秋 高印寒 刘妍妍 |
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| 作者单位： | 1.吉林大学 仪器科学与电气工程学院，长春 1300222.长春理工大学 电子信息工程学院，长春 1300223.吉林大学 测试科学实验中心，长春 130022 |
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| 摘 要： | 将双密度双树复小波变换引入多分辨率图像融合中，利用双密度双树复小波变换的多尺度、多方向性和平移不变性特征分解多聚焦图像，对分解后高、低频图像系数采用不同融合策略进行融合，应用双密度双树复小波逆变换重构图像。采用多组多焦距源图像进行融合实验，并对融合结果进行了客观评价。实验结果表明双密度双树复小波域融合方法对多聚焦图像具有更好的融合效果，图像的细节描述更加精确。
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| 关 键 词： | 双密度双树复小波 图像融合 融合策略 多分辨率 多聚焦 |
Multi-focus image fusion based on double density dual-tree complex wavelet transform |
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| CHEN Guangqiu,GAO Yinhan,LIU Yanyan. Multi-focus image fusion based on double density dual-tree complex wavelet transform[J]. Computer Engineering and Applications, 2013, 49(10): 180-183 |
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| Authors: | CHEN Guangqiu GAO Yinhan LIU Yanyan |
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| Affiliation: | 1.College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130022, China2.School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China3.Center of Test Science, Jilin University, Changchun 130022, China |
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| Abstract: | Double-density dual-tree complex wavelet transform is introduced to image fusion based on multi-resolution, multifocus images are decomposed by double-density dual-tree complex wavelet transform with multi-scale, multi-direction and shiftinvariance of nonsubsampled transform and according to variable characters of low and high frequency coefficients , different combination decisions are adopted to fuse images and composite coefficients are reconstructed by double-density dual-tree complex wavelet inverse transform. Some fusion experiments are done by several sets of multi-focus images and objective performance assessments are fulfilled to evaluate fusion results. The experimental results indicate that more favourable fusion performance is generated and image detail is described more fine. |
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| Keywords: | double-density dual-tree complex wavelet transform image fusion combination decision multi-resolution multi-focus |
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