Defogging algorithm of color images based on Gaussian function weighted histogram specification

Yi-tao Liang, Lan Li, Kui-bin Zhao, Jiang-hui Hu
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引用次数: 3

Abstract

Under the condition of hazy weather, although there are many existing defogging algorithms of images, those which really realize real time and high efficiency are few. The defogging in aspects of road traffic, video supervision and target tracking is unsatisfactory. Therefore, we propose a kind of color image defogging algorithm based on histogram specification of Gaussian function weighting. This algorithm firstly adopts the HSI space luminance conversion model based on the scattering property, and extracts the intensity image I. Then, it adopts histogram specification algorithm based on Gaussian function weighting for processing, further converting to RGB color space to obtain the intensified image. The processing effect is obviously superior to the histogram specification algorithm, moreover, the calculated amount is small and the processing speed is fast without manual intervention.
基于高斯函数加权直方图规范的彩色图像去雾算法
在雾霾天气条件下,虽然已有很多图像去雾算法,但真正实现实时、高效的算法却很少。在道路交通、视频监控、目标跟踪等方面的除雾效果不理想。为此,我们提出了一种基于高斯函数加权直方图规范的彩色图像去雾算法。该算法首先采用基于散射特性的HSI空间亮度转换模型,提取强度图像i,然后采用基于高斯函数加权的直方图规范算法进行处理,进一步转换到RGB色彩空间,得到增强后的图像。处理效果明显优于直方图规范算法,且计算量小,处理速度快,无需人工干预。
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