a tensorflow implement of the TIP2017 paper Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

tensorflow = 1.0.1
cuda
cudnn
numpy
PIL

$ python generate_patches.py
$ python main.py
(note: You can add command line arguments according to the source code.)

The average PSNR(dB) results of different methods on the BSD68 dataset.

Average PSNR(dB)/SSIM results of different methods for Gaussian denoising with noise level 15, 25 and 50 on BSD68 dataset, single image super-resolution with upscaling factors 2, 3 and 40 on Set5, Set14, BSD100 and Urban100 datasets, JPEG image deblocking with quality factors 10, 20, 30 and 40 on Classic5 and LIVE11 datasets.