Denoising with Noise2Void
Training deep-learning models for denoising usually relies on either pairing high-noise input images with low-noise output images or using independent pairs of noisy images in an approach known as Noise2Noise (N2N). These approaches can be limited if the acquisition of low-noise or noisy training targets is not possible, as is often the case for biomedical image studies. As an alternative, an approach known as Noise2Void (N2V), in which training is done directly on the data to be denoised, is available option for training deep models for denoising .
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