Inter-region linear smoothing function for foggy and hazy images

R. Choudhary, A. Tiwari
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Abstract

In foggy and misty weather conditions, the contrast and color of images degrade. These degradation occur due to the attenuation of light and presence of air-light, light reflected from fog particles. Attenuation reduces the contrast and air-light increases the whiteness in the image. In this paper, a novel and efficient fog removal algorithm is proposed. The algorithm uses white color balancing with inter smoothing for the estimation of air-light and restore fog free image. The proposed algorithm, unlike some other methods, is independent from the intensity of fog and does not require user intervention. Qualitative and quantitative analysis demonstrate that the proposed method outperforms the state of art methods.
雾和朦胧图像的区域间线性平滑函数
在多雾的天气条件下,图像的对比度和颜色会下降。这些退化是由于光的衰减和空气光的存在,即雾粒子反射的光。衰减降低了对比度,空气光增加了图像的白度。本文提出了一种新的高效除雾算法。该算法使用白色色彩平衡和内部平滑来估计空气光,并恢复无雾图像。与其他方法不同,该算法不受雾强度的影响,不需要用户干预。定性和定量分析表明,所提出的方法优于最先进的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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