The complete code implementation download link is attached at the end of the article
introduce
To non-photographers, taking good photos in poor lighting conditions may seem like magic. Achieving low light photography requires a combination of skill, experience, and the right equipment. Images captured in low light lack color and distinctive edges. They also suffer from poor visibility and unknown depths. These shortcomings make such images unsuitable for personal use or for image processing or computer vision tasks. We will learn to improve the lighting of nighttime images.
For everyone who has no photography skills, we can use image processing techniques to enhance such images. One approach was proposed by Shi et al. To this end, they report in the paper "Enhancement of night-time low-light images using a single image with bright/dark channel priority". This article will serve as the basis for this article.