Image restoration can be learned from noisy targets in the Fourier domain, where noise becomes approximately Gaussian and clean targets are not needed.
Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections,
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Image Restoration Learning via Noisy Supervision in the Fourier Domain
Image restoration can be learned from noisy targets in the Fourier domain, where noise becomes approximately Gaussian and clean targets are not needed.