Lightweight Attended Multi-Scale Residual Network for Single Image Super-Resolution
Recently, deep convolutional neural networks (CNN) have been widely applied in the single image super-resolution (SISR) task and achieved significant progress in reconstruction performance. However, most of the existing CNN-based SR models are impractical to real-world applicants due to numerous par...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9389768/ |