A discriminative self‐attention cycle GAN for face super‐resolution and recognition
Abstract Face image captured via surveillance videos in an open environment is usually of low quality, which seriously affects the visual quality and recognition accuracy. Most image super‐resolution methods adopt paired high‐quality and its interpolated low‐resolution version to train the super‐res...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12250 |