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Rate-Optimal Denoising with Deep Neural Networks
[article]
2019
arXiv
pre-print
Deep neural networks provide state-of-the-art performance for image denoising, where the goal is to recover a near noise-free image from a noisy observation. The underlying principle is that neural networks trained on large datasets have empirically been shown to be able to generate natural images well from a low-dimensional latent representation of the image. Given such a generator network, a noisy image can be denoised by i) finding the closest image in the range of the generator or by ii)
arXiv:1805.08855v2
fatcat:flvt4fg5ebchtnf4kxfd4sgivq