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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Bibliographic Details
Main Author: Cheng, Mun Chew
Other Authors: Loke Yuan Ren
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/174985
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Institution: Nanyang Technological University
Language: English

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