Generative adversarial network for low‐light image enhancement
Abstract Low‐light image enhancement is rapidly gaining research attention due to the increasing demands of extreme visual tasks in various applications. Although numerous methods exist to enhance image qualities in low light, it is still undetermined how to trade‐off between the human observation a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-05-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12124 |