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Single hazy image restoration based on fields of experts model and guided filtering

机译:基于专家模型和指导滤波的单模糊图像恢复

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摘要

A kind of haze removal algorithm is proposed, so as to improve the visibility of degraded image with only single image. Firstly, the raw atmospheric transmission map is obtained using the dark channel prior. Then, Fields of Experts model with guided filtering is integrated to get the priors from the degraded image, so as to amend the raw atmosphere transmission map. Finally, the scene albedo is restored based on the atmosphere scattering model. Results on a variety of outdoor haze images show the feasibility and validity of our algorithm. Moreover, a comparative study is also proposed with several other state-of-the-art algorithms demonstrate that our algorithm has similar or even better haze removal results.
机译:提出了一种雾度去除算法,以提高退化图像的可视性。首先,使用暗通道先验获得原始大气传输图。然后,结合具有指导滤波的专家模型,从降级图像中获取先验,从而修正原始大气传输图。最后,基于大气散射模型恢复了场景反照率。在各种户外雾度图像上的结果表明了我们算法的可行性和有效性。此外,还提出了与其他几种最新算法的对比研究,这些算法表明我们的算法具有相似甚至更好的除雾效果。

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