摘要
雾霾等天气下,光线在传输过程中受到反射和散射,降低图像质量。根据大气散射模型,提出一种在HSV空间的雾天彩色图像增强方法,该方法使用一种适应性更广的亮度增强函数,并通过图像饱和度的指数调整。实验结果表明该方法有效地改善图像的视觉效果和图像色彩的真实效果。
In haze and other weather conditions,light is reflected and scattered in the process of transmission,which reduces the image quality.According to the atmospheric scattering model,a foggy color image enhancement method in HSV space is proposed,this method uses a more adaptive luminance enhancement function and adjusts the image saturation exponentially.The experimental results show that this method can effectively improve the visual effect of the image and the real effect of the image color.
出处
《科技创新与应用》
2022年第22期87-90,共4页
Technology Innovation and Application
关键词
雾
图像增强
物理模型
饱和度
fog
image enhancement
physical model
saturation
