An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information

doi:10.1109/ACCESS.2021.3101639

CIOMP OpenIR

	An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information
	Q. Li; G. Han; P. Liu; H. Yang; J. Wu and D. Liu
	2021
发表期刊	IEEE Access
ISSN	21693536
卷号	9 页码:108942-108958
摘要	Infrared and visible image fusion is a hot topic due to the perfect complementarity of their information. There are two key problems in infrared and visible image fusion. One is how to extract significant target areas and rich texture details from the source images, and the other is how to integrate them to produce satisfactory fused images. To tackle these problems, we propose a novel fusion framework in this paper. A multi-level image decomposition method is used to obtain the base layer and detail layer of the source image. For the fusion of base layer, an ingenious fusion strategy guided by the saliency map of source image is designed to improve the intensity of salient targets and the visual quality of the fused image. For the fusion of detail layer, an efficient approach by introducing the enhanced gradient information is presented to boost the detail features and sharpen the edges of the fused image. Experimental results demonstrate that, compared with fifteen classical and advanced fusion methods, the proposed image fusion framework has better performance in both subjective and objective evaluation. 2013 IEEE.
DOI	10.1109/ACCESS.2021.3101639
URL	查看原文
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65344
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Q. Li,G. Han,P. Liu,et al. An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information[J]. IEEE Access,2021,9:108942-108958.
APA	Q. Li,G. Han,P. Liu,H. Yang,&J. Wu and D. Liu.(2021).An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information.IEEE Access,9,108942-108958.
MLA	Q. Li,et al."An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information".IEEE Access 9(2021):108942-108958.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
An Infrared and Visi（5343KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载