期刊论文

Yang, Bin

英文

Journal of Electronic Imaging

1017-9909

2020

29

1

013014

10.1117/1.JEI.29.1.013014

This paper was supported by the National Natural Science Foundation of China (Nos. 61871210 and 61102108), Scientific Research Fund of Hunan Provincial Education Department (Nos. 16B225 and YB2013B039), the Natural Science Foundation of Hunan Province (No. 2016JJ3106), Chuanshan Talent Project of the University of South China, the Construct Program of Key Disciplines in USC (No. NHXK04), and Scientific Research Fund of Hengyang Science and Technology Bureau (No. 2015KG51).

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Image fusion obtains a desired image by integrating the useful information of multiple input images. Most traditional fusion strategy is usually guided by image local contrast or variance, which cannot well represent visual discernable features of source images. And the undesirable seam effects or artifacts produced due to the inconsistency between fusion weight map and image content may severely degrade the visual quality of the fused images. An efficient image fusion method with structural saliency measure and content adaptive consistency ver...