Low-light image enhancement via gradient prior-aided network

HIGHLIGHTS

• who: Low-light Image Enhancement via et al. from the School of Navigation, Wuhan University of Technology, Wuhan, China have published the paper: Low-light Image Enhancement via Gradient Prior-Aided Network, in the Journal: (JOURNAL)
• what: The authors propose a gradient prior-aided network (GPANet). Considering the advantages and disadvantages of the above methods, to more accurately extract the latent edge feature information in the low-light background, the authors propose to introduce first- (i.e . To enhance the three-view feature information, as shown in Fig 2, the authors propose a multi-branch . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.