Hi, thanks for this great works. I trained the denoise networks in ILSVRC2012_img_val(with noisetype = gauss25) and my local sRGB dataset, using the same configure parameters. When testing the trained models, the first model preforms good as expected, while the last performs not so good and it sames like have little denoise affect.
Testing in BSD datasets.
From left to right, its clean image\add_noisy image\denoisy image.
Testing in local images.
Left is noisy input, right is denoise output.
It sames like training with synthetic dataset, the model performs good, while training with real local noisy datasets, the model performs not so good. I would appreciate it if anyone could give some advice.
Hi, thanks for this great works. I trained the denoise networks in ILSVRC2012_img_val(with noisetype = gauss25) and my local sRGB dataset, using the same configure parameters. When testing the trained models, the first model preforms good as expected, while the last performs not so good and it sames like have little denoise affect. Testing in BSD datasets. From left to right, its clean image\add_noisy image\denoisy image.
Testing in local images.
Left is noisy input, right is denoise output.
It sames like training with synthetic dataset, the model performs good, while training with real local noisy datasets, the model performs not so good. I would appreciate it if anyone could give some advice.