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A Progressive Single-Image Dehazing Network with Feedback Mechanism
2021
IEEE Access
In the past decade, deep learning methods, especially convolutional neural networks, have received much attention in applications of single-image dehazing. However, the haze in hazy images cannot be distinctly separated because it is complicatedly mixed with the background components. If we roughly remove the haze, the background tone of global atmospheric light may also be destroyed. To resolve the above problem and reconstruct clearer and higher-quality dehazing images, we introduced our
doi:10.1109/access.2021.3130468
fatcat:hduurjhh3jax7g4og3qq74ge2q