快速低照度图像增强算法研究与实现

Research and implementation of the fast image enhancement algorithm

在MSR图像增强算法的基础上进行了改进,采用RGB与HSV颜色空间的快速转换算法,并在MSR算法中用快速均值滤波代替高斯模板卷积,提高算法运算速度;对增强后的图像采用自动截断式对比度拉伸方法,提高增强后图像的对比度。实验结果表明,本算法在提高图像质量的同时,算法速度提高3～4倍。

This paper improves the algorithm based on MSR, using a fast RGB and HSV space conversion algorithm, using the method of fast average filter algorithm to replace the method of Gauss convolution, which improves the processing speed. Then using the method of automatic cut-off tensile to improve the image contrast. Experimental results show that the algorithm improves image quality while the calculating speed improves 3-4 times.