非线性复杂扩散过程单幅图像去雾

S. Sultana, Nazifa Akter, Rahat Hossain Faisal, Md. Mostafijur Rahman
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引用次数: 0

摘要

雾霾图像增强是图像处理领域中具有挑战性的领域之一,因为雾霾的存在降低了室外图像的可见度。近年来,人们引入了各种算法来去除雾霾。大多数算法去除了雾霾,但几乎没有提高图像的对比度。本文提出了一种去除图像雾霾的有效方法。我们的方法的主要好处是,它去雾图像以及保留斜坡边缘提供更好的图像对比度。定性和定量比较了几个国家之间的艺术方法已经执行,表明我们的方法给出了更好的输出图像相比,这些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single Image Haze Removal with Nonlinear Complex Diffusion Process
Hazy image enhancement is one of the challenging fields in the area of image processing because the presence of haze reduces the visibility of outdoor images. In recent years, various algorithms have been introduced to remove haze. Most of the algorithms remove haze but hardly enhance the image with better contrast. In this paper, we have proposed an effective method for removing haze from the image. The main benefit of our method is that it dehazes image as well as preserves ramp edges providing better contrast of the image. The qualitative and quantitative comparison among few states of the art methods have been performed which show that our method gives better output images compared to those methods.
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