Image fusion using multiscale edge-preserving decomposition based on weighted least squares filter
Image fusion using multiscale edge-preserving decomposition based on weighted least squares filter
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DOI：
10.1049/iet-ipr.2013.0429
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发表时间：
2014-03-01
影响因子：
2.3
通讯作者：
Wang, Minghui
中科院分区：
文献类型：
--
作者：
Jiang, Yong;Wang, Minghui
对于像素级图像融合，由于人类视觉系统对源图像的边缘敏感，应尽可能将源图像的边缘整合到融合图像中。在这项研究中，作者利用基于加权最小二乘滤波器的多尺度边缘保持分解（MSEPD）来融合源图像。在作者的方法中，首先，源图像通过MSEPD分别分解为一个基础图像和一系列细节图像。然后，通过为不同类型源图像设计的不同融合规则将相同尺度的细节图像进行组合；基础图像通过平均值规则进行组合。最后，通过将融合后的基础图像和细节图像相加来构建融合图像。所提出的融合方法在多种图像上进行了验证，并与一些基于多尺度分解的方法进行了比较。实验结果表明，所提出的方法能够提供更好的融合图像，同时表现出良好的边缘保持性能。
For pixel-level image fusion, the edges of the source images should be as much as possible integrated into the fused image because the human visual system is sensitive to them. In this study, the authors utilise the multiscale edge-preserving decomposition (MSEPD) based on the weighted least squares filter to fuse the source images. In the authors' method, first, the source images are decomposed by the MSEPD into a base image and a series of detail images, respectively. Then, the detail images of same scale are combined via the different fusion rules designed for different kinds of source images; the base images are combined via the average-value rule. Finally, the fused image is constructed by adding the fused base image and detail images together. The proposed fusion method is verified on several kinds of images and compared with some methods based on multiscale decomposition. The experimental results indicate that the proposed method can provide better fused images, meanwhile manifesting a good edge-preserving performance.