AVAFN-adaptive variational autoencoder fusion network for multispectral image

Image fusion involves extracting and combining the most meaningful information from images captured by different sensors, aiming to create a single image beneficial for further applications. The development of deep learning has significantly advanced image fusion, with neural networks' powerful...

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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 41; S. 89297 - 89315
Hauptverfasser:	Chu, Wen-Lin, Tu, Ching-Che, Jian, Bo-Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2024 Springer Nature B.V
Schlagworte:	1237: Advanced Deep Learning for Computer Vision and Multimedia Applications Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Feature extraction Image quality Image reconstruction Machine learning Multimedia Information Systems Neural networks Special Purpose and Application-Based Systems Texture Visual perception Visual tasks Variational autoencoder Multi-input image fusion Image fusion Adaptive loss assignment method
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
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