A Novel Fusion Method Based on Online Convolutional Sparse Coding with Sample-Dependent Dictionary for Visible–Infrared Images

As an important branch of information fusion, infrared–visible image fusion can generate scene information with rich texture details via signal processing technology. The fused images have characteristics of complete information and higher quality, which can significantly improve nighttime detection...

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Vydané v:	Arabian journal for science and engineering (2011) Ročník 48; číslo 8; s. 10605 - 10615
Hlavní autori:	Li, Haoyue, Zhang, Chengfang, He, Sidi, Feng, Ziliang, Yi, Liangzhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Predmet:	Algorithms Computer vision Data integration Engineering Humanities and Social Sciences Image coding Image reconstruction Infrared imagery Machine learning multidisciplinary Research Article-Computer Engineering and Computer Science Science Task complexity Infrared–visible image fusion Information preservation Online convolutional sparse coding NiAPG Dictionary learning
ISSN:	2193-567X, 1319-8025, 2191-4281
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