Low Illumination Image Enhancement Based on Image Fusion
Shiqiang Tang, Changli Li · 2020
In this paper, a new simple and effective fusion-based method for enhancement of low illumination images is proposed. Firstly, gamma correction is used to obtain the first image for fusion, and Contrast Limited Adaptive Histogram Equalization (CLAHE) is used to obtain the other. Secondly, we define two new weight maps and blend them by multi-scale fusion. Experimental results show our method has better effects both objective and subjective assessment.