基于HSI颜色空间的单幅图像去雾算法

Single image defogging algorithm based on HSI color space

针对有雾图像对比度差、能见度低的情况,结合HSI颜色空间特点,提出一种单幅图像去雾算法。首先,将有雾图像从RGB颜色空间转换到HSI颜色空间;然后,依据HSI颜色空间中色度、饱和度和亮度各分量受雾影响程度的差异,建立相应的去雾模型;最后,通过分析图像饱和度,得到饱和度模型中权重的取值范围,再对亮度模型中权重进行估计,从而实现去雾效果。与其他几种算法的实验结果比较表明,所提算法运算效率提高1倍左右。同时该算法能有效增强图像清晰度,能很好地运用于单幅图像去雾。

Images captured in hazy weather suffer from poor contrast and low visibility. This paper proposed a single image defogging algorithm to remove haze by combining with the characteristics of HSI color space. Firstly, the method converted original image from RGB color space to HSI color space. Then, based on the different affect to hue, saturation and intensity, a defogged model was established. Finally, the range of weight in saturation model was obtained by analyzing original image＇s saturation, then the range of weight in intensity model was also estimated, and the original image was defogged. In comparison with other algorithms, the experimental results show that the running efficiency of the proposed method is doubled. And the proposed method effectively enhances clarity, so it is appropriate for single image defogging.