Deep Gradual Multi-Exposure Fusion via Recurrent Convolutional Network

The performance of multi-exposure image fusion (MEF) has been recently improved with deep learning techniques but there are still a couple of problems to be overcome. In this paper, we propose a novel MEF network based on recurrent neural network (RNN). Multi-exposure images have different useful in...

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Veröffentlicht in:IEEE access 2021-01, Vol.9, p.1-1
Hauptverfasser: Ryu, Je-Ho, Kim, Jong-Han, Kim, Jong-Ok
Format: Artikel
Sprache:eng
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