DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial Network

Engineering Applications of Artificial Intelligence, pp. 263-271, 2019.

Cited by: 4|Bibtex|Views22|DOI:https://doi.org/10.1016/j.engappai.2019.04.003
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Other Links: academic.microsoft.com|dblp.uni-trier.de|www.sciencedirect.com

Abstract:

Despite the recent progress in image dehazing, the task remains tremendous challenging. To improve the performance of haze removal, we propose a scheme for haze removal based on Double-Discriminator Cycle-Consistent Generative Adversarial Network (DD-CycleGAN), which leverages CycleGAN to translate a hazy image to the corresponding haze-f...More

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