SEDRFuse: A Symmetric Encoder-Decoder With Residual Block Network for Infrared and Visible Image Fusion

Image fusion is an important task for computer vision as a diverse range of applications are benefiting from the fusion operation. The existing image fusion methods are largely implemented at the pixel level, which may introduce artifacts and/or inconsistencies, while the computational complexity is...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 70; S. 1 - 15
Hauptverfasser:	Jian, Lihua, Yang, Xiaomin, Liu, Zheng, Jeon, Gwanggil, Gao, Mingliang, Chisholm, David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Attention map Coders Compensation compensation feature Computer vision encoder–decoder Feature extraction Image fusion Image processing Image reconstruction Infrared imagery Machine learning Night vision Principal component analysis residual block Task analysis Transforms
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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