一种基于多尺度Retinex的夜间图像增强算法

A Night Image Enhancement Algorithm Based on Multi-scale Retinex

现有的夜间图像增强算法存在着图像对比度过高和暗区细节不佳的情况。因此,文章提出了一种基于多尺度Retinex(MSR)的夜间图像增强方法,首先通过对图像进行MSR增强,将增强后的图像转换到YUV色彩空间,对Y通道进行伽马变换。实验表明,与传统的MSR方法对比,改进后的算法能够很好地提高图像的对比度,改进暗区的细节表现,具有很好的视觉效果。

The existing night image enhancement algorithms have the problems of high image contrast and poor dark area details.Therefore,a night image enhancement method based on multi-scale Retinex(MSR)is proposed.Firstly,the image is enhanced by MSR,transforming the enhanced image into YUV color space,and using the gamma conversion to transformed Y channel.The experimental results show that compared with the traditional MSR method,the improved algorithm can improve the contrast of the image,improve the detail performance of the dark area,and has a good visual effect.