Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform

doi:10.3390/rs14020283

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform
	B. Qi; L. X. Jin; G. N. Li; Y. Zhang; Q. Li; G. L. Bi and W. H. Wang
刊名	Remote Sensing
	2022
卷号	14 期号:2 页码:21
DOI	10.3390/rs14020283
英文摘要	This study based on co-occurrence analysis shearlet transform (CAST) effectively combines the latent low rank representation (LatLRR) and the regularization of zero-crossing counting in differences to fuse the heterogeneous images. First, the source images are decomposed by CAST method into base-layer and detail-layer sub-images. Secondly, for the base-layer components with larger-scale intensity variation, the LatLRR, is a valid method to extract the salient information from image sources, and can be applied to generate saliency map to implement the weighted fusion of base-layer images adaptively. Meanwhile, the regularization term of zero crossings in differences, which is a classic method of optimization, is designed as the regularization term to construct the fusion of detail-layer images. By this method, the gradient information concealed in the source images can be extracted as much as possible, then the fusion image owns more abundant edge information. Compared with other state-of-the-art algorithms on publicly available datasets, the quantitative and qualitative analysis of experimental results demonstrate that the proposed method outperformed in enhancing the contrast and achieving close fusion result.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/66757]
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	B. Qi,L. X. Jin,G. N. Li,et al. Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform[J]. Remote Sensing,2022,14(2):21.
APA	B. Qi,L. X. Jin,G. N. Li,Y. Zhang,Q. Li,&G. L. Bi and W. H. Wang.(2022).Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform.Remote Sensing,14(2),21.
MLA	B. Qi,et al."Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform".Remote Sensing 14.2(2022):21.