Abstract:

In low light conditions, images usually have low visibility. In order to enhance weakly illumination image, a fast enhancement method based on global adaptive tone mapping is proposed. The image is transformed from RGB color space to YUV color space, and the brightness channel is bilaterally filtered to obtain the basic layer and detail layer. This paper sets adaptive global tone mapping to the basic layer image, and adds the detail layer image information. This paper restores the image color saturation and reconverts to RGB space. The algorithm can quickly enhance the image with better enhancement effect, especially for low-pixel images with large area.

Key words: weakly illumination image enhancement, bilateral filtering, image decomposition, tone mapping

摘要：

在弱光条件下，图像通常具有低能见度。为了增强低照度图像，提出一种基于全局自适应色调映射的快速增强方法。将图像从RGB颜色空间变换到YUV颜色空间，对亮度通道进行双边滤波，得到基本层和细节层；对基本层图像进行自适应全局色调映射，再叠加细节层的图像信息；恢复图像色彩饱和度，并重新变换到RGB空间。该算法能快速实现增强，且增强效果更显著，尤其对有大面积低像素的图像处理得更好。

关键词: 低照度图像增强, 双边滤波, 图像分解, 色调映射