Skip to content

Latest commit

 

History

History
30 lines (19 loc) · 1.17 KB

README.md

File metadata and controls

30 lines (19 loc) · 1.17 KB
Raw

NIRN

NIRN: Self-supervised Noisy Image Reconstruction Network for Real-World Image Denoising

Environments

  • Ubuntu 16.04
  • CUDA 10.0 & cuDNN 7.5.0
  • Python 3.7.6

Environment configuration:

conda env create -f NIRN.yml

conda activate NIRN

The package comprises these functions：

*) single_free_denoise.py : Denoise single-frame real-world noisy image

*) multi_free_denoise.py : Denoise multi-frame real-world noisy images（frame = 4）

*) single_real_image_denoise.py : Denoise single-frame real-world noisy image， we provide noise-free image to get PSNR result

*) multi_real_image_denoise.py : Denoise multi-frame real-world noisy images（frame = 4）， we provide noise-free image to get PSNR result

*) single_Gauss_denoise.py : Denoise single-frame image with Gaussian noise (sigma = 50)

*) multi_Gauss_denoise.py : Denoise multi-frame image with Gaussian noise (sigma = 50) （frame = 4）

Implementation Details: Here we save the output from both subnetworks IGM and NGM with the suffixes '_CIGM_denoised.png' and '_NGM_denoised.png' When changing the picture, it is better to use the name of our picture, otherwise an error may occur.