Image Super‐Resolution via Dual‐Level Recurrent Residual Networks
Recently, the feedforward architecture of a super‐resolution network based on deep learning was proposed to learn the representation of a low‐resolution (LR) input and the non‐linear mapping from these inputs to a high‐resolution (HR) output, but this method cannot completely solve the interdependen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |