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Wavelet-based physically guided normalization network for real-time traffic dehazing
DOI:10.1016/j.patcog.2025.112451.png)
Abstract
En 中文
• We have designed an efficient Dehazing model. Traditional Dehazing models are complex and slow. We improve the speed and quality of Dehazing via frequency domain learning. • We propose a Physically Guided Normalization to restore the feature similarity as in the clean image domain. • We propose a wavelet-based module to enhance the representational capability of the Dehazing model in the feature domain.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W

