基于HSV色彩空间及改进二维伽马函数的井下图像增强算法

Underground Image Enhancement Algorithm Based on HSV Color Space and Improved Two-dimensional Gamma Function

为解决井下光照条件不足、光照不均引起的视频图像质量低下的问题,构造了一种改进二维伽马函数并以此提出了一种基于HSV色彩空间,作用于图像明度和饱和度分量的井下图像质量增强算法。以综采工作面以及井下泵房处图像为增强对象,将算法与目前主流的图像增强算法进行对比验证。结果表明,在井下环境下该算法对井下低亮度区域有着较好的增强效果,一定程度上满足了井下视频图像质量增强需求。

In order to solve the problem of low quality of video image caused by insufficient and uneven lighting conditions in the underground,an improved two-dimensional gamma function is constructed and a downhole image quality enhancement algorithm based on HSV color space and acting on the image brightness and saturation components is proposed.Taking the image of the fully mechanized mining face and the underground pump room as the enhancement object,the algorithm is compared and verified with the current mainstream image enhancement algorithm.The results show that the algorithm has a good enhancement effect on the underground low-brightness area in the underground environment,and to a certain extent meets the requirements of the underground video image quality enhancement.