LSRN-AED: lightweight super-resolution network based on asymmetric encoder–decoder

Due to limited memory and computing resources, the application of deep neural networks on embedded and mobile devices is still a great challenge. To tackle this problem, this paper proposes a lightweight super-resolution network based on asymmetric encoder–decoder (LSRN-AED), which achieves better p...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 28; H. 13-14; S. 8513 - 8525
Hauptverfasser:	Huang, Shuying, Li, Wei, Yang, Yong, Wan, Weiguo, Lai, Houzeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2024 Springer Nature B.V
Schlagworte:	Artificial Intelligence Artificial neural networks Asymmetry Coders Complexity Computational Intelligence Computing costs Control Costs Decoders Engineering Feature extraction Feature maps Mathematical Logic and Foundations Mechatronics Memory devices Neural Networks Parameters Redundancy Robotics Spatial data Asymmetric encoder–decoder Image super-resolution Lightweight network Multi-way epiphany module
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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