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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Main Author: | Cheng, Mun Chew |
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Other Authors: | Loke Yuan Ren |
Format: | Final Year Project |
Language: | English |
Published: |
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 |
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