An end-to-end multi-scale network based on autoencoder for infrared and visible image fusion

Hongzhe Liu; Hua Yan

doi:10.1007/s11042-022-14314-9

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An end-to-end multi-scale network based on autoencoder for infrared and visible image fusion

Hongzhe Liu Hua Yan

Year: 2022 Journal: Multimedia Tools and Applications Vol: 82 (13)Pages: 20139-20156 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-022-14314-9

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Keywords:

Computer science Fuse (electrical) Fusion Encoder Residual Artificial intelligence Autoencoder Image fusion Infrared Image (mathematics) Computer vision Scale (ratio) End-to-end principle Pattern recognition (psychology) Artificial neural network Algorithm Optics

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Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Infrared Thermography in Medicine

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

An end-to-end multi-scale network based on autoencoder for infrared and visible image fusion

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