Dark Image Enhancement Based on Virtual Exposure Fusion
Rong Lv, Shao Yong, Zan Peng, Yao Yufan, Liu Huafeng · 2021
Image processing technology plays an important role in the field of monitoring, medical treatment and remote sensing. However, in some low light environment, the image captured by hardware will have the characteristics of loss of detail information and low contrast, which limits the practical application. In order to improve the brightness of low illumination image, alleviate the image contour distortion and restore more details of the image, a low light image enhancement algorithm based on virtual exposure fusion is proposed in this paper. In this method, the dark image is processed by histogram equalization, gamma correction and virtual exposure to generate three images which details and brightness are enhanced. The three processed images and the original image are weighted and fused by weight matrix afterwards to get the final enhanced image.Through the comparison of objective experiments, the algorithm has a certain improvement effect on image enhancement and has a better effect on dark image enhancement.