Infrared and Visible Image Fusion Based on a Latent Low-Rank Representation Nested With Multiscale Geometric Transform

Infrared and Visible Image Fusion Based on a Latent Low-Rank Representation Nested With Multiscale Geometric Transform

To solve the problems of low image contrast and low feature representation in infrared and visible image fusion, an image fusion algorithm based on latent low-rank representation (LatLRR) and non-subsampled shearlet transform (NSST) methods is proposed. First, infrared and visible images are decompo...

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Bibliographic Details
Main Authors: Shen Yu, Xiaopeng Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image fusion
latent low-rank representation
non-subsampled shearlet transform
VGG net
logical weight
energy adaptation
Online Access:https://ieeexplore.ieee.org/document/9115635/

Internet

https://ieeexplore.ieee.org/document/9115635/

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