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Single Image Haze Removal using Image Processing Algorithms

机译:使用图像处理算法去除单幅雾度

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The pictures taken in awful climatic conditions will adversely influence the picture quality. Fog and haze degrades the picture standard, air-light lessens whiteness of the image and attenuation lessens its contrast. This paper provides colour attenuation prior for haze removal of the image. The main aim is to solve the problem of reduced visibility by excellent image processing strategy and the purpose is to improve the quality of images that lack the shading, complication and depth when perceived by the human eye. By creating a straight model for display the scene extent of the hazy image, we can easily determine the transmission and resume the scene radiance via the atmospheric scattering model.
机译:在恶劣的气候条件下拍摄的照片会对照片质量产生不利影响。雾和雾会降低图像质量,空气光线会降低图像的白度,而衰减会降低其对比度。本文提供了颜色衰减,以消除雾霾。主要目的是通过出色的图像处理策略解决可见度降低的问题,目的是提高人眼感知时缺乏阴影,复杂度和深度的图像质量。通过创建用于显示模糊图像场景范围的直线模型,我们可以轻松地确定透射率,并通过大气散射模型恢复场景辐射。

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