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Boosting of Image Denoising Algorithms
v1v2 (latest)

Boosting of Image Denoising Algorithms

22 February 2015
Yaniv Romano
Michael Elad
ArXiv (abs)PDFHTML

Papers citing "Boosting of Image Denoising Algorithms"

34 / 34 papers shown
Revisiting Transformers with Insights from Image Filtering and Boosting
Revisiting Transformers with Insights from Image Filtering and Boosting
Laziz U. Abdullaev
Maksim Tkachenko
Tan M. Nguyen
ViT
354
1
0
12 Jun 2025
Transformer Meets Twicing: Harnessing Unattended Residual Information
Transformer Meets Twicing: Harnessing Unattended Residual InformationInternational Conference on Learning Representations (ICLR), 2025
Laziz U. Abdullaev
Tan M. Nguyen
652
5
0
02 Mar 2025
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and
  Machine Learning
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
P. Milanfar
M. Delbracio
AI4CE
514
38
0
10 Sep 2024
Generalized Robust Fundus Photography-based Vision Loss Estimation for
  High Myopia
Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia
Zipei Yan
Zhile Liang
Zhengji Liu
Shuai Wang
Rachel Ka-Man Chun
Jizhou Li
C. Kee
Dong Liang
271
0
0
04 Jul 2024
Pivotal Auto-Encoder via Self-Normalizing ReLU
Pivotal Auto-Encoder via Self-Normalizing ReLU
Nelson Goldenstein
Jeremias Sulam
Yaniv Romano
242
3
0
23 Jun 2024
Boosting of Implicit Neural Representation-based Image Denoiser
Boosting of Implicit Neural Representation-based Image DenoiserIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Zipei Yan
Zhengji Liu
Jizhou Li
AI4CE
256
2
0
03 Jan 2024
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and
  Unsupervised Learning
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning
Ling Chen
Zhishen Huang
Y. Long
S. Ravishankar
276
2
0
19 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems
What's in a Prior? Learned Proximal Networks for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2023
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
481
26
0
22 Oct 2023
Cross-boosting of WNNM Image Denoising method by Directional Wavelet
  Packets
Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets
Amir Averbuch
P. Neittaanmäki
V. Zheludev
Moshe Salhov
Jonathan Hauser
200
4
0
09 Jun 2022
Deep Posterior Distribution-based Embedding for Hyperspectral Image
  Super-resolution
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionIEEE Transactions on Image Processing (IEEE TIP), 2022
Jinhui Hou
Zhiyu Zhu
Xianqiang Lyu
Huanqiang Zeng
Jinjian Wu
Jiantao Zhou
SupR
272
23
0
30 May 2022
Unsupervised PET Reconstruction from a Bayesian Perspective
Unsupervised PET Reconstruction from a Bayesian PerspectiveIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Chenyu Shen
Wenjun Xia
H. Ye
Mingzheng Hou
Hu Chen
Yan Liu
Jiliu Zhou
Yi Zhang
246
3
0
29 Oct 2021
DAMix: A Density-Aware Mixup Augmentation for Single Image Dehazing
  under Domain Shift
DAMix: A Density-Aware Mixup Augmentation for Single Image Dehazing under Domain Shift
Chia-Ming Chang
Tsung-Nan Lin
206
2
0
26 Sep 2021
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms
V. D. Silva
92
0
0
25 Aug 2020
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
Multi-Scale Boosted Dehazing Network with Dense Feature FusionComputer Vision and Pattern Recognition (CVPR), 2020
Hang Dong
Jin-shan Pan
Lei Xiang
Zhe Hu
Xinyi Zhang
Fei Wang
Ming-Hsuan Yang
328
955
0
28 Apr 2020
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
Gregory Vaksman
Michael Elad
P. Milanfar
AI4CE
205
0
0
17 Nov 2019
Deep K-SVD Denoising
Deep K-SVD DenoisingIEEE Transactions on Image Processing (TIP), 2019
M. Scetbon
Michael Elad
P. Milanfar
SupR
265
134
0
28 Sep 2019
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing
  Perspective
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Stanley H. Chan
449
65
0
31 Aug 2018
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
BDL
268
76
0
20 Aug 2018
The Power of Complementary Regularizers: Image Recovery via Transform
  Learning and Low-Rank Modeling
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling
Bihan Wen
Yanjun Li
Y. Bresler
206
11
0
03 Aug 2018
Multimodal Image Denoising based on Coupled Dictionary Learning
Multimodal Image Denoising based on Coupled Dictionary Learning
P. Song
M. Rodrigues
162
6
0
26 Jun 2018
Rendition: Reclaiming what a black box takes away
Rendition: Reclaiming what a black box takes awaySIAM Journal of Imaging Sciences (SIIMS), 2018
P. Milanfar
272
14
0
23 Apr 2018
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online
  Video Denoising
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising
Bihan Wen
S. Ravishankar
Y. Bresler
299
36
0
03 Oct 2017
Group Sparsity Residual Constraint for Image Denoising
Group Sparsity Residual Constraint for Image Denoising
Zhiyuan Zha
Xinggan Zhang
Qiong Wang
Lan Tang
Yechao Bai
556
11
0
01 Mar 2017
On the Global-Local Dichotomy in Sparsity Modeling
On the Global-Local Dichotomy in Sparsity Modeling
Dmitry Batenkov
Yaniv Romano
Michael Elad
181
15
0
11 Feb 2017
Pruned non-local means
Pruned non-local meansIET Image Processing (IET Image Process.), 2017
Sanjay Ghosh
A. Mandal
K. Chaudhury
160
11
0
28 Jan 2017
Deep Class Aware Denoising
Deep Class Aware Denoising
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
225
11
0
06 Jan 2017
The Little Engine that Could: Regularization by Denoising (RED)
The Little Engine that Could: Regularization by Denoising (RED)
Yaniv Romano
Michael Elad
P. Milanfar
DiffM
539
934
0
09 Nov 2016
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches
E. Hait
Guy Gilboa
DiffM
71
1
0
27 Sep 2016
Image denoising via group sparsity residual constraint
Image denoising via group sparsity residual constraint
Zhiyuan Zha
Xin Liu
Ziheng Zhou
Xiaohua Huang
Jingang Shi
Zhenhong Shang
Lan Tang
Yechao Bai
Qiong Wang
Xinggan Zhang
364
46
0
12 Sep 2016
CLEAR: Covariant LEAst-square Re-fitting with applications to image
  restoration
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration
Charles-Alban Deledalle
Nicolas Papadakis
Joseph Salmon
Samuel Vaiter
403
33
0
16 Jun 2016
RAISR: Rapid and Accurate Image Super Resolution
RAISR: Rapid and Accurate Image Super ResolutionIEEE Transactions on Computational Imaging (TCI), 2016
Yaniv Romano
J. Isidoro
P. Milanfar
SupR
582
277
0
03 Jun 2016
Con-Patch: When a Patch Meets its Context
Con-Patch: When a Patch Meets its Context
Yaniv Romano
Michael Elad
217
25
0
22 Mar 2016
Patch-Ordering as a Regularization for Inverse Problems in Image
  Processing
Patch-Ordering as a Regularization for Inverse Problems in Image Processing
Gregory Vaksman
M. Zibulevsky
Michael Elad
186
16
0
26 Feb 2016
Trainlets: Dictionary Learning in High Dimensions
Trainlets: Dictionary Learning in High Dimensions
Jeremias Sulam
Boaz Ophir
M. Zibulevsky
Michael Elad
468
107
0
31 Jan 2016
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