Feature Attention Cycle Generative Adversarial Network: A Multi-Scene Image Dehazing Method Based on Feature Attention

Feature Attention Cycle Generative Adversarial Network: A Multi-Scene Image Dehazing Method Based on Feature Attention

For the clearing of hazy images, it is difficult to obtain dehazing datasets with paired mapping images. Currently, most algorithms are trained on synthetic datasets with insufficient complexity, which leads to model overfitting. At the same time, the physical characteristics of fog in the real worl...

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Bibliographic Details
Main Authors: Na Li, Na Liu, Yanan Duan, Yuyang Chai
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
image dehazing
generative adversarial network
feature fusion
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/15/10/5374
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