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arXiv · 2105.10192

Pyramid Fusion Dark Channel Prior for Single Image Dehazing

Qiyuan Liang·Bin Zhu·Chong-Wah Ngo
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Abstract

In this paper, we propose the pyramid fusion dark channel prior (PF-DCP) for single image dehazing. Based on the well-known Dark Channel Prior (DCP), we introduce an easy yet effective approach PF-DCP by employing the DCP algorithm at a pyramid of multi-scale images to alleviate the problem of patch size selection. In this case, we obtain the final transmission map by fusing transmission maps at each level to recover a high-quality haze-free image. Experiments on RESIDE SOTS show that PF-DCP not only outperforms the traditional prior-based methods with a large margin but also achieves comparable or even better results of state-of-art deep learning approaches. Furthermore, the visual quality is also greatly improved with much fewer color distortions and halo artifacts.

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Qiyuan Liang, Bin Zhu, Chong-Wah Ngo. 2021-05-21. Pyramid Fusion Dark Channel Prior for Single Image Dehazing. https://arxiv.org/abs/2105.10192

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