FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

18 Nov 2019 Xu Qin Zhilin Wang Yuanchao Bai Xiaodong Xie Huizhu Jia

In this paper, we propose an end-to-end feature fusion at-tention network (FFA-Net) to directly restore the haze-free image. The FFA-Net architecture consists of three key components: 1) A novel Feature Attention (FA) module combines Channel Attention with Pixel Attention mechanism, considering that different channel-wise features contain totally different weighted information and haze distribution is uneven on the different image pixels... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Dehazing SOTS Indoor FFA-Net PSNR 35.77 # 1
SSIM 0.9846 # 1
Image Dehazing SOTS Outdoor FFA-Net PSNR 33.38 # 1
SSIM 0.9804 # 1

Methods used in the Paper


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