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The advent of deep learning has brought a revolutionary transformation to image denoising techniques.
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Mohammad Ali Badamchizadeh and Ali Aghagolzadeh · 2004
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A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 2005
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An iterative regularization method for total variation-based image restoration
Stanley Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, and Wotao Yin · 2005
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Stefan Roth and Michael J Black · 2005
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Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance
Cort J Willmott and Kenji Matsuura · 2005
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Image denoising with block-matching and 3d filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2006
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Image denoising via sparse and redundant representations over learned dictionaries
Michael Elad and Michal Aharon · 2006
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Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Spatio-temporal markov random field for video denoising
Jia Chen and Chi-Keung Tang · 2007
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Multiresolution bilateral filtering for image denoising
Ming Zhang and Bahadir K Gunturk · 2008
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Natural image denoising with convolutional networks
Viren Jain and Sebastian Seung · 2008
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Monte-carlo sure: A black-box optimization of regularization parameters for general denoising algorithms
Sathish Ramani, Thierry Blu, and Michael Unser · 2008
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Image noise models
Charles Boncelet · 2009
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Removal of correlated noise by modeling the signal of interest in the wavelet domain
Bart Goossens, Aleksandra Pizurica, and Wilfried Philips · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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A new approach for very dark video denoising and enhancement
Qing Xu, Hailin Jiang, Riccardo Scopigno, and Mateu Sbert · 2010
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Contour detection and hierarchical image segmentation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, and Jitendra Malik · 2010
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Image quality metrics: Psnr vs. ssim
Alain Hore and Djemel Ziou · 2010
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Non-local means denoising
Antoni Buades, Bartomeu Coll, and Jean-Michel Morel · 2011
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Tweedie’s formula and selection bias
Bradley Efron · 2011
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Color demosaicking by local directional interpolation and nonlocal adaptive thresholding
Lei Zhang, Xiaolin Wu, Antoni Buades, and Xin Li · 2011
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Fsim: A feature similarity index for image quality assessment
Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang · 2011
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Nonlocally centralized sparse representation for image restoration
Weisheng Dong, Lei Zhang, Guangming Shi, and Xin Li · 2012
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Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
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On single image scale-up using sparse-representations
Roman Zeyde, Michael Elad, and Matan Protter · 2012
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Low-complexity single-image super-resolution based on nonnegative neighbor embedding
Marco Bevilacqua, Aline Roumy, Christine M. Guillemot, and Marie-Line Alberi-Morel · 2012
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Adaptive multi-column deep neural networks with application to robust image denoising
Forest Agostinelli, Michael R Anderson, and Honglak Lee · 2013
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Robust principal component analysis with complex noise
Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, and Lei Zhang · 2014
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Shrinkage fields for effective image restoration
Uwe Schmidt and Stefan Roth · 2014
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Gradient histogram estimation and preservation for texture enhanced image denoising
Wangmeng Zuo, Lei Zhang, Chunwei Song, David Zhang, and Huijun Gao · 2014
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Weighted nuclear norm minimization with application to image denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng · 2014
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Practical signal-dependent noise parameter estimation from a single noisy image
Xinhao Liu, Masayuki Tanaka, and Masatoshi Okutomi · 2014
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Cellnet: network biology applied to stem cell engineering
Patrick Cahan, Hu Li, Samantha A Morris, Edroaldo Lummertz Da Rocha, George Q Daley, and James J Collins · 2014
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A low-light image enhancement method for both denoising and contrast enlarging
Lin Li, Ronggang Wang, Wenmin Wang, and Wen Gao · 2015
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Adaptive image denoising by targeted databases
Enming Luo, Stanley H Chan, and Truong Q Nguyen · 2015
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Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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The noise clinic: a blind image denoising algorithm
Marc Lebrun, Miguel Colom, and Jean-Michel Morel · 2015
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Text steganography based on ci-poetry generation using markov chain model
Yubo Luo, Yongfeng Huang, Fufang Li, and Chinchen Chang · 2016
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Research and implementation of traffic sign recognition system
Yishan Gong, Wei Zhang, Zhijia Zhang, and Yuanyuan Li · 2016
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Waterloo exploration database: New challenges for image quality assessment models
Kede Ma, Zhengfang Duanmu, Qingbo Wu, Zhou Wang, Hongwei Yong, Hongliang Li, and Lei Zhang · 2016
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A holistic approach to cross-channel image noise modeling and its application to image denoising
Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, and Seon Joo Kim · 2016
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Online-learning-based human tracking across non-overlapping cameras
Young-Gun Lee, Zheng Tang, and Jenq-Neng Hwang · 2017
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Text steganography with high embedding rate: Using recurrent neural networks to generate chinese classic poetry
Yubo Luo and Yongfeng Huang · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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Patch group based bayesian learning for blind image denoising
Jun Xu, Dongwei Ren, Lei Zhang, and David Zhang · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Openmem: Hardware/software cooperative management for mobile memory system
Fei Wen, Mian Qin, Paul Gratz, and Narasimha Reddy · 2021
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Deep learning–based text classification: a comprehensive review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao · 2021
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Interpretable minority synthesis for imbalanced classification
Yi He, Fudong Lin, Nian-Feng Tzeng, et al · 2021
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Patch craft: Video denoising by deep modeling and patch matching
Gregory Vaksman, Michael Elad, and Peyman Milanfar · 2021
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Neighbor2neighbor: Self-supervised denoising from single noisy images
Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, and Jianzhuang Liu · 2021
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Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising
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Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
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Benchmarking denoising algorithms with real photographs
Tobias Plotz and Stefan Roth · 2017
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Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
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Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
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Denoising prior driven deep neural network for image restoration
Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, and Xiaotong Lu · 2018
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Image blind denoising with generative adversarial network based noise modeling
Jingwen Chen, Jiawei Chen, Hongyang Chao, and Ming Yang · 2018
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Tongyao Pang, Huan Zheng, Yuhui Quan, and Hui Ji · 2021
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Noise2score: tweedie’s approach to self-supervised image denoising without clean images
Kwanyoung Kim and Jong Chul Ye · 2021
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Methods for image denoising using convolutional neural network: a review
Ademola E Ilesanmi and Taiwo O Ilesanmi · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Self-supervised video hashing via bidirectional transformers
Shuyan Li, Xiu Li, Jiwen Lu, and Jie Zhou · 2021
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C2n: Practical generative noise modeling for real-world denoising
Geonwoon Jang, Wooseok Lee, Sanghyun Son, and Kyoung Mu Lee · 2021
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Exploring simple siamese representation learning
Xinlei Chen and Kaiming He · 2021
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Shaking noise exploration and elimination for detecting local flaws of steel wire ropes based on magnetic flux leakages
Zhiliang Liu and Liyuan Ren · 2022
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A deep learning model for detecting cage-free hens on the litter floor
Xiao Yang, Lilong Chai, Ramesh Bahadur Bist, Sachin Subedi, and Zihao Wu · 2022
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Tkil: tangent kernel approach for class balanced incremental learning
Jinlin Xiang and Eli Shlizerman · 2022
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Adversarial vision transformer for medical image semantic segmentation with limited annotations
Ziyang Wang, Chengkuan Zhao, and Zixuan Ni · 2022
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Simultaneous depth estimation and surgical tool segmentation in laparoscopic images
Baoru Huang, Anh Nguyen, Siyao Wang, Ziyang Wang, Erik Mayer, David Tuch, Kunal Vyas, Stamatia Giannarou, and Daniel S Elson · 2022
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Automated segmentation of midbrain structures in high-resolution susceptibility maps based on convolutional neural network and transfer learning
Weiwei Zhao, Yida Wang, Fangfang Zhou, Gaiying Li, Zhichao Wang, Haodong Zhong, Yang Song, Kelly M Gillen, Yi Wang, Guang Yang, et al · 2022
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Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John Onofrey, Lawrence Staib, and James S Duncan · 2022
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Relax: Reinforcement learning agent explainer for arbitrary predictive models
Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, and Gabriele Tolomei · 2022
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Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle, Jinjin Tian, Yuchen Li, and Andrej Risteski · 2022
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When cnn meet with vit: Towards semi-supervised learning for multi-class medical image semantic segmentation
Ziyang Wang, Tianze Li, Jian-Qing Zheng, and Baoru Huang · 2022
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Simd-matcher: A simd-based arbitrary matching framework
Ping Wang, Fei Wen, Paul V Gratz, and Alex Sprintson · 2022
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Atrous residual interconnected encoder to attention decoder framework for vertebrae segmentation via 3d volumetric ct images
Wenqiang Li, Yuk Ming Tang, Ziyang Wang, Kai Ming Yu, and Suet To · 2022
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Traffic Performance Evaluation Using Statistical and Machine Learning Methods
Xiaobo Ma · 2022
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Cascade variational auto-encoder for hierarchical disentanglement
Fudong Lin, Xu Yuan, Lu Peng, and Nian-Feng Tzeng · 2022
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Simple baselines for image restoration
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Idr: Self-supervised image denoising via iterative data refinement
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Noise distribution adaptive self-supervised image denoising using tweedie distribution and score matching
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Blind2unblind: Self-supervised image denoising with visible blind spots
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Cvf-sid: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image
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Image denoising in the deep learning era
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