General Model-Agnostic Transfer Learning for Natural Degradation Image Enhancement
2021 International Symposium on Computer Technology and Information Science (ISCTIS)（2021）
摘要
In order to obtain high-quality images in natural conditions, natural degradation image enhancement has been a research hotspot in recent years. In this paper, we present a transfer learning approach for multiple types of natural degradation image enhancement. We propose to create a common source domain for various natural degradations and perform the transfer learning for every specific natural d...
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关键词
component,transfer learning,deep neural network,image enhancement,natural image degradation
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