NDLI: Variational approach for multi-source image fusion

Content Provider	IET Digital Library
Author	Tang, Sizhang Fang, Faming Zhang, Guixu
Abstract	In this study, the authors propose a variational model for image fusion using a gradient field to describe the features of all input images. The authors’ model is based on energy minimisation and the fused image corresponds to the minimiser of the energy functional. The authors first construct the gradient of fused image by using a weighted sum of the input gradients. Next, to increase the contrast in the fused image, the authors subtract the norm of gradient in the fused image from the functional. Finally, for the purpose of visual uniformity, the authors integrate the inputs using a ‘gray world’ assumption. The authors implement the algorithm using the augmented Lagrangian method. Three sets of images are used to verify the proposed method. Comparisons with other state-of-the-art algorithms show that the proposed algorithm obtains remarkable results.
Starting Page	134
Ending Page	141
Page Count	8
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 2, Feb (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0199
Journal	IET Image Processing
Publisher Date	2014-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Augmented Lagrangian Method Computer Vision And Image Processing Technique Energy Functional Energy Minimisation Gradient Field Gradient Method Gray World Assumption Image Fusion Input Gradients Minimisation Multisource Image Fusion Optical, Image And Video Signal Processing Optimisation Technique Variational Approach Visual Uniformity Weighted Sum
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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