Research on Infrared and Visible Image Fusion Based on Tetrolet Transform and Convolution Sparse Representation

Research on Infrared and Visible Image Fusion Based on Tetrolet Transform and Convolution Sparse Representation

Image fusion is a visual enhancement technique that combines source images from different sensors to produce a more robust and informative fused image for subsequent processing or decision making. Infrared and visible light images share complementary properties that enable the production of robust a...

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Bibliographic Details
Main Authors: Xin Feng, Chao Fang, Xicheng Lou, Kaiqun Hu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Image fusion
improved tetrolet transform
convolutional sparse representation
ISER descriptor
Online Access:https://ieeexplore.ieee.org/document/9345701/

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