Hybrid model of tensor sparse representation and total variation regularization for image denoising
The method based on non-local self-similarity patches has been widely applied in image
denoising. For a given image patch, there are similar image patches at neighbor windows in …
denoising. For a given image patch, there are similar image patches at neighbor windows in …
Denoising: from classical methods to deep CNNs
JE Campagne - arXiv preprint arXiv:2404.16617, 2024 - arxiv.org
This paper aims to explore the evolution of image denoising in a pedagological way. We
briefly review classical methods such as Fourier analysis and wavelet bases, highlighting …
briefly review classical methods such as Fourier analysis and wavelet bases, highlighting …
Machine learning to extract information from noise: application to concrete and cancer detection
B Zviazhynski - 2024 - repository.cam.ac.uk
The availability of large amounts of experimental and computational data together with
powerful computers enabled use of machine learning to predict phenomena in physical …
powerful computers enabled use of machine learning to predict phenomena in physical …