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

doi:10.3390/rs13020204

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

	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
刊名	Remote Sensing
	2021
卷号	13 期号:2 页码:1-21
ISSN号	20724292
DOI	10.3390/rs13020204
英文摘要	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.
URL标识	查看原文
内容类型	期刊论文
源URL	[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.