Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN

Image super-resolution is important in many fields, such as surveillance and remote sensing. However, infrared (IR) images normally have low resolution since the optical equipment is relatively expensive. Recently, deep learning methods have dominated image super-resolution and achieved remarkable p...

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Veröffentlicht in:	arXiv.org 2021-09
Hauptverfasser:	Huang, Yongsong, Jiang, Zetao, Wang, Qingzhong, Jiang, Qi, Pang, Guoming
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Image resolution Infrared imagery Infrared imaging Kernels Machine learning Optical equipment Remote sensing Training
Online-Zugang:	Volltext
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