Haze removal from an image via generative adversarial networks
The performance of computer vision applications like autonomous vehicles, satellite imaging can get affected by real-world conditions such as haze, smoke and rain particles. Recent works focus on using deep-learning GAN-based and Transformer-based model for image dehazing. However, current methods s...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/174985 |
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| Institution: | Nanyang Technological University |
| Language: | English |