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首页> 外文期刊>Automatica Sinica, IEEE/CAA Journal of >Single image fog removal based on local extrema
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Single image fog removal based on local extrema

机译：基于局部极值的单图像除雾

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摘要

Atmospheric conditions induced by suspended particles, such as fog and haze, severely alter the scene appearance. In this paper, we propose a novel defogging method based on the local extrema, aiming at improving the image visibility under foggy or hazy weather condition. The proposed method utilizes atmospheric scattering model to realize the fog removal. It applies the local extrema method to figure out three pyramid levels to estimate atmospheric veil, and manipulates the tone and contrast of details at different scales through multi-scale tone manipulation algorithm. The results on the experiments of comparison with traditional methods demonstrate that the proposed method can achieve more accurate restoration for the color and details, resulting in a great improvement in image visibility.
机译：由悬浮颗粒引起的大气条件（例如雾和霾）会严重改变场景外观。在本文中，我们提出了一种基于局部极值的新型除雾方法，旨在提高在有雾或朦胧天气条件下的图像可见性。该方法利用大气散射模型来实现除雾。它应用局部极值方法找出三个金字塔层次来估计大气面纱，并通过多尺度色调操纵算法来操纵不同尺度下细节的色调和对比度。与传统方法进行对比实验的结果表明，该方法可以更准确地还原颜色和细节，从而大大提高了图像的可见度。

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