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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