Useful links
We recommend checking out the following papers to get familiar with this research field
Imaging in focus: An introduction to denoising bioimages in the era of deep learning, Romain F. Laine, Guillaume Jacquemet, Alexander Krull 2021
Noise2Noise: Learning Image Restoration without Clean Data, Jaakko Lehtinen et al. 2018
Noise2Void - Learning Denoising from Single Noisy Images, Alexander Krull, Tim-Oliver Buchholz, Florian Jug 2018
And itโs implementation: https://csbdeep.bioimagecomputing.com/tools/n2v/
Noise2Self: Blind Denoising by Self-Supervision, Joshua Batson, Loic Royer, 2019
Removing Structured Noise with Self-Supervised Blind-Spot Networks, C. Broaddus, A. Krull, M. Weigert, U. Schmidt and G. Myers 2020
An Unsupervised Deep Learning Approach for Real-World Image Denoising, Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao 2021
Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image, Y. Quan, M. Chen, T. Pang and H. Ji 2021