The images acquired in the low illumination environment have the characteristics of low signal-to-noise ratio

low contrast and low resolution

which make the image difficult to identify and utilize.In order to improve the image quality of low-light images

this paper proposes a low-light image enhancement method based on U-net generative adversarial network (GAN). First

the U-net framework is used to implement the generative network of GAN

and then the GAN is used to learn the feature mapping from the low-light image to the normal-light image

and ultimately achieve illumination enhancement for the low-light image. Finally

this method is verified by experiments. The experimental results show that

compared with the mainstream algorithm

the proposed algorithm can effectively improve the brightness and contrast of low-light image.