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Densely connected network with improved pyramidal bottleneck residual units for super-resolution
Affiliation:1. Engineering Research Center for ICH Digitalization and Multi-source Information Fusion, (Fuqing Branch of Fujian Normal University), Fujian Province University, Fuzhou 350300, China;2. Department of Electronic Engineering, National Quemoy University, Kinmen 89250, Taiwan;3. Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan;1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;2. Department of Computer Science, City University of Hong Kong, Hong Kong, China
Abstract:
Keywords:Super-resolution  Convolution neural network  Pyramidal network  Residual-feature learning
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