NDLI: Image fusion using multiscale edge-preserving decomposition based on weighted least squares filter

Content Provider	IET Digital Library
Author	Jiang, Yong Wang, Minghui
Abstract	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.
Starting Page	183
Ending Page	190
Page Count	8
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 3, Mar (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0429
Journal	IET Image Processing
Publisher Date	2014-02-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Average-value Rule Computer Vision And Image Processing Technique Decomposition Filtering Method in Signal Processing Filtering Theory Human Visual System Image Fusion Interpolation And Function Approximation Least Squares Approximation MSEPD Multiscale Edge-preserving Decomposition Numerical Analysis Optical, Image And Video Signal Processing Pixel-level Image Fusion Source Image Decomposition Weighted Least Square Filter
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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