The challenge is now over! Check out the "Challenge results" page. If you want to submit, see the "Late submission" page.
Useful links
We recommend checking out the following papers to get familiar with this research field
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Imaging in focus: An introduction to denoising bioimages in the
era of deep learning, Romain F. Laine, Guillaume Jacquemet, Alexander
Krull 2021
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Noise2Noise:
Learning Image Restoration without Clean Data, Jaakko Lehtinen et al.
2018
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Noise2Void -
Learning Denoising from Single Noisy Images, Alexander Krull, Tim-Oliver
Buchholz, Florian Jug 2018
And it’s implementation:
https://csbdeep.bioimagecomputing.com/tools/n2v/
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Noise2Self: Blind Denoising by Self-Supervision, Joshua Batson,
Loic Royer, 2019
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Removing
Structured Noise with Self-Supervised Blind-Spot Networks, C. Broaddus,
A. Krull, M. Weigert, U. Schmidt and G. Myers 2020
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An
Unsupervised Deep Learning Approach for Real-World Image Denoising,
Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma,
Chenglong Bao 2021
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Self2Self With Dropout: Learning Self-Supervised Denoising From
Single Image, Y. Quan, M. Chen, T. Pang and H. Ji 2021
