Remove image noise by adjust for that image a neural network trained on other data
Remove image noise by adjust for that image a neural network trained on other data
Adaptive Denoising via GainTuning
arXiv paper abstract https://arxiv.org/abs/2107.12815v1
arXiv PDF paper https://arxiv.org/pdf/2107.12815v1.pdf
Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets.
... but they have difficulties generalizing when applied to data that deviate from the training distribution.
Recent work has shown that it is possible to train denoisers on a single noisy image.
... but their performance is limited by the small amount of information used to train them.
... propose "GainTuning", in which CNN models pre-trained on large datasets are adaptively and selectively adjusted for individual test images.
... GainTuning improves state-of-the-art CNNs on standard image-denoising benchmarks, boosting their denoising performance on nearly every image in a held-out test set. ...
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