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首页> 外文期刊>Signal processing >Single hazy image restoration using robust atmospheric scattering model
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Single hazy image restoration using robust atmospheric scattering model

机译：使用鲁棒的大气散射模型进行单模糊图像恢复

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摘要

Images captured in unfavorable weather usually exhibit poor visibility, which results from scattering and absorption that the propagated light suffers in the atmosphere. To improve the quality of degraded images, multitudes of algorithms have been exploited based on traditional atmospheric scattering model. However, in the traditional model, a phenomenon is neglected that the radiance projected on scenes is uneven, which leads to low brightness in processed image. Targeted the inherent limitation of the traditional model, we propose a robust atmospheric scattering model by decomposing the real scene into incident light and reflectance component and attaching a noise term in the traditional model. Then an objective function which includes novel regularization terms for the incident light and reflectance is formulated based on the proposed model, and an alternating direction method of multipliers is adopted to jointly estimate the incident light and reflectance. Moreover, a compensation term with regard to transmission map is introduced to ameliorate over-enhancement in thick haze regions. Ultimately, comprehensive tests are implemented to compare our method with other exceptional haze removal methods. Experiments on images with different characteristics manifest excellent performance of the proposed method in terms of haze removal and brightness enhancement. (C) 2019 Elsevier B.V. All rights reserved.
机译：在不利的天气中捕获的图像通常显示的可见度很差，这是由于传播的光在大气中受到散射和吸收所致。为了提高退化图像的质量，已经基于传统的大气散射模型开发了多种算法。但是，在传统模型中，忽略了投射在场景上的辐射不均匀的现象，这导致处理后的图像亮度降低。针对传统模型的固有局限性，我们通过将真实场景分解为入射光和反射率分量并在传统模型中附加噪声项，提出了一种鲁棒的大气散射模型。然后在该模型的基础上，建立了包含新颖的入射光和反射率正则项的目标函数，并采用乘数的交替方向方法来联合估计入射光和反射率。此外，引入关于透射图的补偿项以改善浓雾区域中的过度增强。最终，将进行全面测试以将我们的方法与其他出色的除雾方法进行比较。在具有不同特征的图像上进行的实验表明，该方法在除雾和增强亮度方面具有出色的性能。 （C）2019 Elsevier B.V.保留所有权利。

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