Fetching the paper…
Reading the bibliography…
In diverse microscopy modalities, sensors measure only real-valued intensities.
Phase retrieval algorithms: A comparison
James R Fienup · 1982
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 2005
Earlier work this paper cites.
Image denoising via sparse and redundant representations over learned dictionaries
Michael Elad and Michal Aharon · 2006
Earlier work this paper cites.
Illumination multiplexing within fundamental limits
Netanel Ratner and Yoav Y Schechner · 2007
Earlier work this paper cites.
Mean squared error: Love it or leave it? a new look at signal fidelity measures
Zhou Wang and Alan C Bovik · 2009
Earlier work this paper cites.
Bayesian learning via stochastic gradient langevin dynamics
Max Welling and Yee W Teh · 2011
Earlier work this paper cites.
From learning models of natural image patches to whole image restoration
Daniel Zoran and Yair Weiss · 2011
Earlier work this paper cites.
Introduction to Bessel Functions
Frank Bowman · 2012
Earlier work this paper cites.
Wide-field, high-resolution fourier ptychographic microscopy
Guoan Zheng, Roarke Horstmeyer, and Changhuei Yang · 2013
Earlier work this paper cites.
Weighted nuclear norm minimization with application to image denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng · 2014
Earlier work this paper cites.
Multiplexed coded illumination for Fourier ptychography with an LED array microscope
Lei Tian, Xiao Li, Kannan Ramchandran, and Laura Waller · 2014
Earlier work this paper cites.
Reference-less measurement of the transmission matrix of a highly scattering material using a dmd and phase retrieval techniques
Angélique Drémeau, Antoine Liutkus, David Martina, Ori Katz, Christophe Schülke, Florent Krzakala, Sylvain Gigan, and Laurent Daudet · 2015
Earlier work this paper cites.
Phase retrieval with application to optical imaging: A contemporary overview
Yoav Shechtman, Yonina C Eldar, Oren Cohen, Henry Nicholas Chapman, Jianwei Miao, and Mordechai Segev · 2015
Earlier work this paper cites.
Experimental robustness of fourier ptychography phase retrieval algorithms
Li-Hao Yeh, Jonathan Dong, Jingshan Zhong, Lei Tian, Michael Chen, Gongguo Tang, Mahdi Soltanolkotabi, and Laura Waller · 2015
Earlier work this paper cites.
Variance stabilization for noisy+ estimate combination in iterative poisson denoising
Lucio Azzari and Alessandro Foi · 2016
Earlier work this paper cites.
Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration
Yunjin Chen and Thomas Pock · 2016
Earlier work this paper cites.
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
Christopher A Metzler, Arian Maleki, and Richard G Baraniuk · 2016
Earlier work this paper cites.
The little engine that could: Regularization by denoising (RED)
Yaniv Romano, Michael Elad, and Peyman Milanfar · 2017
Earlier work this paper cites.
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.
The perception-distortion tradeoff
Yochai Blau and Tomer Michaeli · 2018
Cited alongside, same era.
Efficient illumination angle self-calibration in fourier ptychography
Regina Eckert, Zachary F Phillips, and Laura Waller · 2018
Cited alongside, same era.
Large scale image segmentation with structured loss based deep learning for connectome reconstruction
Jan Funke, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, and Srinivas C Turaga · 2018
Cited alongside, same era.
Non-local recurrent network for image restoration
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, and Thomas S Huang · 2018
Cited alongside, same era.
Prdeep: Robust phase retrieval with a flexible deep network
Ilvr: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
Later among the works it cites.
Neighbor2neighbor: Self-supervised denoising from single noisy images
Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, and Jianzhuang Liu · 2021
Later among the works it cites.
Stochastic solutions for linear inverse problems using the prior implicit in a denoiser
Zahra Kadkhodaie and Eero Simoncelli · 2021
Later among the works it cites.
SNIPS: Solving noisy inverse problems stochastically
Bahjat Kawar, Gregory Vaksman, and Michael Elad · 2021
Later among the works it cites.
Stochastic image denoising by sampling from the posterior distribution
Bahjat Kawar, Gregory Vaksman, and Michael Elad · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Christopher Metzler, Phillip Schniter, Ashok Veeraraghavan, and Richard Baraniuk · 2018
Cited alongside, same era.
Burst denoising with kernel prediction networks
Ben Mildenhall, Jonathan T Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, and Robert Carroll · 2018
Cited alongside, same era.
First M87 Event Horizon Telescope results. IV. imaging the central supermassive black hole
Kazunori Akiyama, Antxon Alberdi, Walter Alef, Keiichi Asada, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Dan Bintley, et al · 2019
Cited alongside, same era.
Noise2void-learning denoising from single noisy images
Alexander Krull, Tim-Oliver Buchholz, and Florian Jug · 2019
Cited alongside, same era.
Low rank poisson denoising (LRPD): A low rank approach using split bregman algorithm for poisson noise removal from images
Prashanth G Kumar and Rajiv Ranjan Sahay · 2019
Cited alongside, same era.
Ptychography
John Rodenburg and Andrew Maiden · 2019
Cited alongside, same era.
Adaptive ptych: Leveraging image adaptive generative priors for subsampled fourier ptychography
Fahad Shamshad, Asif Hanif, Farwa Abbas, Muhammad Awais, and Ali Ahmed · 2019
Cited alongside, same era.
Wesley Khademi, Sonia Rao, Clare Minnerath, Guy Hagen, and Jonathan Ventura · 2021
Later among the works it cites.
Extreme low-light environment-driven image denoising over permanently shadowed lunar regions with a physical noise model
Ben Moseley, Valentin Bickel, Ignacio G López-Francos, and Loveneesh Rana · 2021
Later among the works it cites.
Solving inverse problems in medical imaging with score-based generative models
Yang Song, Liyue Shen, Lei Xing, and Stefano Ermon · 2021
Later among the works it cites.
Physics-based iterative projection complex neural network for phase retrieval in lensless microscopy imaging
Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, and Xiangyang Ji · 2021
Later among the works it cites.
Towards mixed-state coded diffraction imaging
Benjamin Attal and Matthew O’Toole · 2022
Closest in time.
Holocurtains: Programming light curtains via binary holography
Dorian Chan, Srinivasa G Narasimhan, and Matthew O’Toole · 2022
Closest in time.
Diffusion posterior sampling for general noisy inverse problems
Hyungjin Chung, Jeongsol Kim, Michael T Mccann, Marc L Klasky, and Jong Chul Ye · 2022
Closest in time.
Improving diffusion models for inverse problems using manifold constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, and Jong Chul Ye · 2022
Closest in time.
Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction
Hyungjin Chung, Byeongsu Sim, and Jong Chul Ye · 2022
Closest in time.
Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
Closest in time.
Variable imaging projection cloud scattering tomography
Roi Ronen, Vadim Holodovsky, and Yoav Y Schechner · 2022
Closest in time.
Lwgnet-learned wirtinger gradients for fourier ptychographic phase retrieval
Atreyee Saha, Salman S Khan, Sagar Sehrawat, Sanjana S Prabhu, Shanti Bhattacharya, and Kaushik Mitra · 2022
Closest in time.
On the convergence of non-convex phase retrieval with denoising priors
Duoduo Xue, Ziyang Zheng, Wenrui Dai, Chenglin Li, Junni Zou, and Hongkai Xiong · 2022
Closest in time.