Multi-Exposure Fusion of Gray Images Under Low Illumination Based on Low-Rank Decomposition

Multi-Exposure Fusion of Gray Images Under Low Illumination Based on Low-Rank Decomposition

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 u...

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Bibliographic Details
Main Authors: Ting Nie, Liang Huang, Hongxing Liu, Xiansheng Li, Yuchen Zhao, Hangfei Yuan, Xiangyu Song, Bin He
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
multi-exposure image fusion
low-illumination imaging
adaptive guided filtering
latent low-rank representation
Online Access:https://www.mdpi.com/2072-4292/13/2/204

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