一种快速单幅图像去雾新方法

为了再现雾霾天气下可见光图像的清晰场景,有效抑制雾霾退化造成的图像对比度、清晰度下降,本文提出了一种基于改进的双边滤波器的快速有效的去雾新方法.该方法引进了本文首次发现的简洁高效的“类高斯核”,代替传统双边滤波器的高斯核.改进的双边滤波器具有很好边缘保持特性,用该滤波器来准确优化雾天大气传输率的估计,大大提高了计算效率；在大气光值估计中,对暗通道和原图两个区间亮度最大值,进行加权平均,精确的估计出雾天大气光值.本文算法具有很快的处理速度,能有效提高复原图像的清晰度和对比度,获得较好的图像颜色.

New Fast Single Image Dehazeing Method

Imaging in the atmosphere presents the phenomenon of low contrast, low saturation and hue offset due to atmospheric particles such as haze and fog.In this paper, a fast method is proposed to remove haze from a single image based on modified bilateral filtering.The similar Gaussian kernel that is firstly proposed in this paper is applied to structure the modified bilateral filtering.The modified bilateral filtering is a linear edge preserving filter and is used to refine medium transmission;meanwhile, it can effectively enhance the speed of data processing.The dark channel prior and fog image are used to accurately estimate the value of global atmospheric light by an interval through weighted fusion.Compared to some state-of-the-art methods, the proposed method can achieve a faster processing speed, effectively improve the visibility and contrast of the restored images, and obtain good color effect.