articleIEEE Transactions on Image ProcessingJan 1, 2020GREEN OA

MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion

Jiangnan University · University of Surrey

PubMed
Indexed inarxivcrossrefpubmed

Abstract

Image decomposition is crucial for many image processing tasks, as it allows to extract salient features from source images. A good image decomposition method could lead to a better performance, especially in image fusion tasks. We propose a multi-level image decomposition method based on latent low-rank representation(LatLRR), which is called MDLatLRR. This decomposition method is applicable to many image processing fields. In this paper, we focus on the image fusion task. We build a novel image fusion framework based on MDLatLRR which is used to decompose source images into detail parts(salient features) and base parts. A nuclear-norm based fusion strategy is used to fuse the detail parts and the base parts…

Citation impact

595
total citations
FWCI
52.59
Percentile
100%
References
63
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Authors

3

Topics & keywords

Keywords
  • Image fusion
  • Artificial intelligence
  • Computer science
  • Fuse (electrical)
  • Computer vision
  • Image processing
  • Fusion
  • Salient
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