Скачать с ютуб 292 - Denoising images using deep learning (Noise2Void)​ в хорошем качестве

292 - Denoising images using deep learning (Noise2Void)​

Denoising images using deep learning (Noise2Void)​ Do not let noise distract you from the truth​ Classical​ denoising Gaussian​, Total Variation​, Median​, Non-local means (NLM)​, Block-matching and 3D filtering (BM3D)​ Deep Learning​ denoising Autoencoders​, Deep CNNs​, GANs​, Noise2Noise​, Noise2Void​ Noise2Void: https://arxiv.org/abs/1811.10980 https://github.com/juglab/n2v Noise2Void learns directly from noisy images without the need for clean images, making it the ideal choice for denoising confocal images.​ Only requires noisy images, no need for additional noisy or clean images. ​ Assumption:​ Signal has a structure and noise does not. ​ Therefore, it is possible to predict signal by looking at the surrounding pixels but impossible to predict noise. ​ For information about ZEN: https://www.zeiss.com/microscopy/en/p...