NDLI: Weighted gradient-based fusion for multi-spectral image with steering kernel and structure tensor

Content Provider	IEEE Xplore Digital Library
Author	Qianqian Dong Zhiqiang Zhou Bo Wang Sun Li
Copyright Year	2014
Description	Author affiliation: Sch. of Autom., Beijing Inst. of Technol., Beijing, China (Qianqian Dong; Zhiqiang Zhou; Bo Wang; Sun Li)
Abstract	In this paper, a novel weighted gradient-based fusion method combining structure tensor with steering kernel for multi-spectral images is proposed. The structure tensor is usually used to extract the main gradient information of a single point from the source image. However, the spatial structure information is important for human visual perception and the spatial context is an effective way of improving fusion result. Therefore we propose to use steering kernel to describe the spatial structure information of the source images, which is robust to the noise, and then use the weighted structure tensor that is combined with the steering kernel though a saliency metric in the proposed weighted gradient-based fusion method. Experimental results demonstrate that the proposed method outperforms other conventional fusion methods in term of visual comparison and quantitative assessment.
Starting Page	7298
Ending Page	7302
File Size	445613
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Measurement Tensile stress Noise Robustness Kernel multi-spectral image fusion Image fusion steering kernel Periodic structures saliency metric structure tensor
Content Type	Text
Resource Type	Article

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