Non-Homogeneous Image Dehazing Model Based on Vision Transformer Shunt Self-Attention Aggregation
This study introduces an innovative dehazing technique utilizing a Vision Transformer to mitigate the image quality degradation caused by non-homogeneous haze in real-world environments. Initially, the model employs convolutional layers to augment the channel dimensions of the input image, enabling...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11028993/ |
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