Fetching the paper…
Reading the bibliography…
We extend the blindspot model for self-supervised denoising to handle Poisson-Gaussian noise and introduce an improved training scheme that avoids hyperparameters and adapts the denoiser to the test data.
A simplex method for function minimization
John A Nelder and Roger Mead · 1965
Earlier work this paper cites.
Estimation of the mean of a multivariate normal distribution
Charles M Stein · 1981
Earlier work this paper cites.
An algorithm for total variation minimization and applications
Antonin Chambolle · 2004
Earlier work this paper cites.
Image denoising with block-matching and 3d filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2006
Earlier work this paper cites.
The sure-let approach to image denoising
Thierry Blu and Florian Luisier · 2007
Earlier work this paper cites.
Practical poissonian-gaussian noise modeling and fitting for single-image raw-data
Alessandro Foi, Mejdi Trimeche, Vladimir Katkovnik, and Karen Egiazarian · 2008
Earlier work this paper cites.
Monte-carlo sure: A black-box optimization of regularization parameters for general denoising algorithms
Sathish Ramani, Thierry Blu, and Michael Unser · 2008
Earlier work this paper cites.
Image denoising in mixed poisson–gaussian noise
Florian Luisier, Thierry Blu, and Michael Unser · 2010
Earlier work this paper cites.
Non-local means denoising
Antoni Buades, Bartomeu Coll, and Jean-Michel Morel · 2011
Earlier work this paper cites.
Optimal inversion of the generalized anscombe transformation for poisson-gaussian noise
Markku Makitalo and Alessandro Foi · 2012
Cited alongside, same era.
Weighted nuclear norm minimization with application to image denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Cited alongside, same era.
An unbiased risk estimator for image denoising in the presence of mixed poisson–gaussian noise
Yoann Le Montagner, Elsa D Angelini, and Jean-Christophe Olivo-Marin · 2014
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Training deep learning based denoisers without ground truth data
Shakarim Soltanayev and Se Young Chun · 2018
Later among the works it cites.
Content-aware image restoration: pushing the limits of fluorescence microscopy
Martin Weigert, Uwe Schmidt, Tobias Boothe, Andreas Müller, Alexandr Dibrov, Akanksha Jain, Benjamin Wilhelm, Deborah Schmidt, Coleman Broaddus, Siân Culley, et al · 2018
Later among the works it cites.
Noise2self: Blind denoising by self-supervision
Joshua Batson and Loic Royer · 2019
Later among the works it cites.
Noise2void-learning denoising from single noisy images
Alexander Krull, Tim-Oliver Buchholz, and Florian Jug · 2019
Later among the works it cites.
High-quality self-supervised deep image denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen, and Timo Aila · 2019
Later among the works it cites.
A poisson-gaussian denoising dataset with real fluorescence microscopy images
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Cited alongside, same era.
Noise2Noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
Cited alongside, same era.
Training deep learning based denoisers without ground truth data
Shakarim Soltanayev and Se Young Chun · 2018
Cited alongside, same era.
Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, and Scott Howard · 2019
Later among the works it cites.
Probabilistic noise2void: Unsupervised content-aware denoising
Alexander Krull, Tomáš Vičar, Mangal Prakash, Manan Lalit, and Florian Jug · 2020
Closest in time.
Fully unsupervised probabilistic noise2void
Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, and Florian Jug · 2020
Closest in time.