Gated Context Aggregation Network for Image Dehazing and Deraining

Image dehazing aims to recover the uncorrupted content from a hazy image. Instead of leveraging traditional low-level or handcrafted image priors as the restoration constraints, e.g., dark channels and increased contrast, we propose an end-to-end gated context aggregation network to directly restore the final haze-free image... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Rain Removal DID-MDN GCANet PSNR 31.68 # 1
Image Dehazing SOTS Indoor GCANet PSNR 30.23 # 2
SSIM 0.98 # 2

Methods used in the Paper


METHOD TYPE
Convolution
Convolutions