Multi-exposure fusion of gray images under low illumination based on low-rank decomposition

doi:10.3390/rs13020204

CIOMP OpenIR

	Multi-exposure fusion of gray images under low illumination based on low-rank decomposition
	T. Nie; L. Huang; H. Liu; X. Li; Y. Zhao; H. Yuan; X. Song and B. He
	2021
发表期刊	Remote Sensing
ISSN	20724292
卷号	13 期号:2 页码:1-21
摘要	Existing multi-exposure fusion (MEF) algorithms for gray images under low-illumination cannot preserve details in dark and highlighted regions very well, and the fusion image noise is large. To address these problems, an MEF method is proposed. First, the latent low-rank representation (LatLRR) is used on low-dynamic images to generate low-rank parts and saliency parts to reduce noise after fusion. Then, two components are fused separately in Laplace multi-scale space. Two different weight maps are constructed according to features of gray images under low illumination. At the same time, an energy equation is designed to obtain the optimal ratio of different weight factors. An improved guided filtering based on an adaptive regularization factor is proposed to refine the weight maps to maintain spatial consistency and avoid artifacts. Finally, a high dynamic image is obtained by the inverse transform of low-rank part and saliency part. The experimental results show that the proposed method has advantages both in subjective and objective evaluation over state-of-the-art multi-exposure fusion methods for gray images under low-illumination imaging. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
DOI	10.3390/rs13020204
URL	查看原文
收录类别	SCI ; EI
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65438
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	T. Nie,L. Huang,H. Liu,et al. Multi-exposure fusion of gray images under low illumination based on low-rank decomposition[J]. Remote Sensing,2021,13(2):1-21.
APA	T. Nie.,L. Huang.,H. Liu.,X. Li.,Y. Zhao.,...&X. Song and B. He.(2021).Multi-exposure fusion of gray images under low illumination based on low-rank decomposition.Remote Sensing,13(2),1-21.
MLA	T. Nie,et al."Multi-exposure fusion of gray images under low illumination based on low-rank decomposition".Remote Sensing 13.2(2021):1-21.

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