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How do you solve the noise/artefact problem ?

Open JunbinWang opened this issue 5 years ago • 1 comments

Hi,

I am very interested about how you train the model to solve the image artifact problem caused by image compression (jpeg images) ?

I try some other SR models before, most of them can only handle png images and performs very bad in jpeg format image.

Best Regard, Even.

JunbinWang avatar Sep 03 '19 06:09 JunbinWang

simply train jpeg denoising.

denoise: input image -> add jpeg noise -> CNN -> output image loss = MSE(input image, output image) SR+denoise: input image -> downsampling -> add jpeg noise -> CNN(upsampling) -> output image loss = MSE(input image, output image)

nagadomi avatar Sep 03 '19 10:09 nagadomi