Michael Elad

CoRR, 2024

Anchored Diffusion for Video Face Reenactment.

[BibT_eX]

[DOI]

CoRR, 2024

Zero-Shot Image Compression with Diffusion-Based Posterior Sampling.

[BibT_eX]

[DOI]

Noam Elata

CoRR, 2024

Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination.

[BibT_eX]

[DOI]

Shelly Golan

CoRR, 2024

Perceptual Fairness in Image Restoration.

[BibT_eX]

[DOI]

Guy Ohayon

CoRR, 2024

Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

CLIPAG: Towards Generator-Free Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Nested Diffusion Processes for Anytime Image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Weakly-Supervised Representation Learning for Video Alignment and Analysis.

[BibT_eX]

[DOI]

Guy Bar-Shalom

George Leifman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Early Time Classification with Accumulated Accuracy Gap Control.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Perception-Robustness Tradeoff in Deterministic Image Restoration.

[BibT_eX]

[DOI]

Guy Ohayon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation.

[BibT_eX]

[DOI]

Roi Benita

Joseph Keshet

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling.

[BibT_eX]

[DOI]

Noam Elata

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., September, 2023

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

BIGRoC: Boosting Image Generation via a Robust Classifier.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Classifier Robustness Enhancement Via Test-Time Transformation.

[BibT_eX]

[DOI]

Alexander M. Bronstein

CoRR, 2023

Weakly-supervised Representation Learning for Video Alignment and Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models for Generative Histopathology.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time.

[BibT_eX]

[DOI]

Proceedings of the Cancer Prevention Through Early Detection, 2023

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Do Perceptually Aligned Gradients Imply Robustness?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Complex-Valued Retrievals From Noisy Images Using Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised Quality Evaluation of Colonoscopy Procedures.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PatchCraft Self-Supervised Training for Correlated Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-Perceptual Quality JPEG Decoding via Posterior Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Ada-LISTA: Learned Solvers Adaptive to Varying Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards A Most Probable Recovery in Optical Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems.

[BibT_eX]

[DOI]

CoRR, 2022

Patch-Craft Self-Supervised Training for Correlated Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2022

JPEG Artifact Correction using Denoising Diffusion Restoration Models.

[BibT_eX]

[DOI]

CoRR, 2022

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

[BibT_eX]

[DOI]

CoRR, 2022

Threat Model-Agnostic Adversarial Defense using Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

Denoising Diffusion Restoration Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Simultaneous Detection and Classification of Partially and Weakly Supervised Cells.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Deep K-SVD Denoising.

[BibT_eX]

[DOI]

Meyer Scetbon

Hossein Talebi Esfandarani

IEEE Trans. Image Process., 2021

Better Compression With Deep Pre-Editing.

[BibT_eX]

[DOI]

Damien Kelly

Xiyang Luo

Ignacio Garcia-Dorado

Feng Yang

IEEE Trans. Image Process., 2021

Regularization by Denoising via Fixed-Point Projection (RED-PRO).

[BibT_eX]

[DOI]

Regev Cohen

SIAM J. Imaging Sci., 2021

Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond.

[BibT_eX]

[DOI]

Rajaei Khatib

Dror Simon

J. Vis. Commun. Image Represent., 2021

Deep Energy: Task Driven Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Daniel Freedman

IEEE J. Sel. Top. Signal Process., 2021

Improved Image Generation via Sparse Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

SNIPS: Solving Noisy Inverse Problems Stochastically.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

High Perceptual Quality Image Denoising with a Posterior Sampling CGAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Stochastic Image Denoising by Sampling from the Posterior Distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Patch Craft: Video Denoising by Deep Modeling and Patch Matching.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study.

[BibT_eX]

[DOI]

Proceedings of the 31st Data Compression Conference, 2021

2020

Variations on the Convolutional Sparse Coding Model.

[BibT_eX]

[DOI]

Ives Rey-Otero

IEEE Trans. Signal Process., 2020

Unsupervised Single Image Dehazing Using Dark Channel Prior Loss.

[BibT_eX]

[DOI]

Daniel Freedman

IEEE Trans. Image Process., 2020

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2020

When and How Can Deep Generative Models be Inverted?

[BibT_eX]

[DOI]

Dror Simon

CoRR, 2020

Better Compression with Deep Pre-Editing.

[BibT_eX]

[DOI]

Hossein Talebi

Damien Kelly

Xiyang Luo

Ignacio Garcia-Dorado

Feng Yang

CoRR, 2020

LIDIA: Lightweight Learned Image Denoising with Instance Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Finding GEMS: Multi-Scale Dictionaries For High-Dimensional Graph Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Unified Single-Image and Video Super-Resolution via Denoising Algorithms.

[BibT_eX]

[DOI]

Alon Brifman

IEEE Trans. Image Process., 2019

Multi-Layer Sparse Coding: The Holistic Way.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2019

Acceleration of RED via vector extrapolation.

[BibT_eX]

[DOI]

Tao Hong

J. Vis. Commun. Image Represent., 2019

Low-Weight and Learnable Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2019

DeepRED: Deep Image Prior Powered by RED.

[BibT_eX]

[DOI]

Gary Mataev

CoRR, 2019

Rethinking the CSC Model for Natural Images.

[BibT_eX]

[DOI]

Dror Simon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SOS Boosting for Image Deblurring Algorithms.

[BibT_eX]

[DOI]

Shahar Romem Peled

Proceedings of the 27th European Signal Processing Conference, 2019

A Local Block Coordinate Descent Algorithm for the CSC Model.

[BibT_eX]

[DOI]

Ev Zisselman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Restoration by Compression.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Example-Based Image Synthesis via Randomized Patch-Matching.

[BibT_eX]

[DOI]

Yi Ren

IEEE Trans. Image Process., 2018

Optimized Pre-Compensating Compression.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2018

A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model.

[BibT_eX]

[DOI]

Ev Zisselman

CoRR, 2018

Improving Pursuit Algorithms Using Stochastic Resonance.

[BibT_eX]

[DOI]

CoRR, 2018

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Energy: Using Energy Functions for Unsupervised Training of DNNs.

[BibT_eX]

[DOI]

Daniel Freedman

CoRR, 2018

Classification Stability for Sparse-Modeled Signals.

[BibT_eX]

[DOI]

CoRR, 2018

System-Aware Compression.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Compression for Multiple Reconstructions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Dictionary Learning for High Dimensional Graph Signals.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Projecting on to the Multi-Layer Convolutional Sparse Coding Model.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Style Transfer Via Texture Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

The Little Engine That Could: Regularization by Denoising (RED).

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

Convolutional Neural Networks Analyzed via Convolutional Sparse Coding.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning.

[BibT_eX]

[DOI]

CoRR, 2017

On the Global-Local Dichotomy in Sparsity Modeling.

[BibT_eX]

[DOI]

Dmitry Batenkov

CoRR, 2017

Convolutional Dictionary Learning via Local Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Structure-aware classification using supervised dictionary learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Trainlets: Dictionary Learning in High Dimensions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Dual Graph Regularized Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2016

Con-Patch: When a Patch Meets Its Context.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Multi-Scale Patch-Based Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Postprocessing of Compressed Images via Sequential Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Large Inpainting of Face Images With Trainlets.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Patch Ordering as a Regularization for Inverse Problems in Image Processing.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Poisson inverse problems by the Plug-and-Play scheme.

[BibT_eX]

[DOI]

Arie Rond

J. Vis. Commun. Image Represent., 2016

Linearized Kernel Dictionary Learning.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding.

[BibT_eX]

[DOI]

CoRR, 2016

Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding.

[BibT_eX]

[DOI]

CoRR, 2016

Compressed Learning: A Deep Neural Network Approach.

[BibT_eX]

[DOI]

CoRR, 2016

A Deep Learning Approach to Block-based Compressed Sensing of Images.

[BibT_eX]

[DOI]

CoRR, 2016

Image restoration via successive compression.

[BibT_eX]

[DOI]

Proceedings of the 2016 Picture Coding Symposium, 2016

Turning a denoiser into a super-resolver using plug and play priors.

[BibT_eX]

[DOI]

Alon Brifman

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Sparse Coding with Anomaly Detection.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2015

Linear-Time Subspace Clustering via Bipartite Graph Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Self-content-based audio inpainting.

[BibT_eX]

[DOI]

Yuval Bahat

Signal Process., 2015

Boosting of Image Denoising Algorithms.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Sparsity Based Methods for Overparameterized Variational Problems.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Bi-l<sub>0</sub>-l<sub>2</sub>-norm regularization for blind motion deblurring.

[BibT_eX]

[DOI]

Wen-Ze Shao

Haibo Li

J. Vis. Commun. Image Represent., 2015

Guest Editorial: Sparse Coding.

[BibT_eX]

[DOI]

Francis R. Bach

Int. J. Comput. Vis., 2015

Clutter Mitigation in Echocardiography Using Sparse Signal Separation.

[BibT_eX]

[DOI]

Javier S. Turek

Int. J. Biomed. Imaging, 2015

SOS Boosting of Image Denoising Algorithms.

[BibT_eX]

[DOI]

CoRR, 2015

Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Simple, Accurate, and Robust Nonparametric Blind Super-Resolution.

[BibT_eX]

[DOI]

Wenze Shao

Proceedings of the Image and Graphics - 8th International Conference, 2015

Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Patch-disagreement as away to improve K-SVD denoising.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Dictionary Learning for Analysis-Synthesis Thresholding.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Sparsity-Based Poisson Denoising With Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

On MAP and MMSE estimators for the co-sparse analysis model.

[BibT_eX]

[DOI]

Javier Turek

Digit. Signal Process., 2014

Bi-l0-l2-Norm Regularization for Blind Motion Deblurring.

[BibT_eX]

[DOI]

Wen-Ze Shao

Haibo Li

CoRR, 2014

Sparsity Based Methods for Overparametrized Variational Problems.

[BibT_eX]

[DOI]

CoRR, 2014

Image denoising through multi-scale learnt dictionaries.

[BibT_eX]

[DOI]

Boaz Ophir

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Sparsity based poisson inpainting.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Expected Patch Log Likelihood with a Sparse Prior.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Image Processing Using Smooth Ordering of its Patches.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse.

[BibT_eX]

[DOI]

Leslie N. Smith

IEEE Signal Process. Lett., 2013

Probabilistic Subspace Clustering Via Sparse Representations.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography.

[BibT_eX]

[DOI]

Int. J. Biomed. Imaging, 2013

Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2013

Improving K-SVD denoising by post-processing its method-noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Image denoising using NL-means via smooth patch ordering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Can we allow linear dependencies in the dictionary in the sparse synthesis framework?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Audio Inpainting.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2012

Redundant Wavelets on Graphs and High Dimensional Data Clouds.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Sparse and Redundant Representation Modeling - What Next?

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model

[BibT_eX]

[DOI]

CoRR, 2012

K-SVD dictionary-learning for the analysis sparse model.

[BibT_eX]

[DOI]

Tomer Faktor

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Cosamp and SP for the cosparse analysis model.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

Example-based cross-modal denoising.

[BibT_eX]

[DOI]

Dana Segev

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary.

[BibT_eX]

[DOI]

Javier Turek

IEEE Trans. Signal Process., 2011

Generalized Tree-Based Wavelet Transform.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing.

[BibT_eX]

[DOI]

Panagiotis Tsakalides

IEEE J. Sel. Top. Signal Process., 2011

Multi-Scale Dictionary Learning Using Wavelets.

[BibT_eX]

[DOI]

Boaz Ophir

Michael Lustig

IEEE J. Sel. Top. Signal Process., 2011

Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2011

The Cosparse Analysis Model and Algorithms

[BibT_eX]

[DOI]

CoRR, 2011

Sparsity-based Sinogram Denoising for low-dose Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Cosparse analysis modeling - uniqueness and algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Denoising of image patches via sparse representations with learned statistical dependencies.

[BibT_eX]

[DOI]

Tomer Faktor

Proceedings of the IEEE International Conference on Acoustics, 2011

A constrained matching pursuit approach to audio declipping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Sequential minimal eigenvalues - an approach to analysis dictionary learning.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

Denoising with greedy-like pursuit algorithms.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010

Double sparsity: learning sparse dictionaries for sparse signal approximation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Coherence-based performance guarantees for estimating a sparse vector under random noise.

[BibT_eX]

[DOI]

Zvika Ben-Haim

IEEE Trans. Signal Process., 2010

L1-L2 Optimization in Signal and Image Processing.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2010

Dictionaries for Sparse Representation Modeling.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

On the Role of Sparse and Redundant Representations in Image Processing.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

Yi Ma

Proc. IEEE, 2010

Applications of Sparse Representation and Compressive Sensing.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2010

Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning

[BibT_eX]

[DOI]

CoRR, 2010

Analysis of Basis Pursuit Via Capacity Sets

[BibT_eX]

[DOI]

CoRR, 2010

The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods

[BibT_eX]

[DOI]

CoRR, 2010

On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary

[BibT_eX]

[DOI]

CoRR, 2010

Corrigendum: Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image.

[BibT_eX]

[DOI]

Dmitry Datsenko

Comput. J., 2010

Iterative signal recovery from incomplete samples: technical perspective.

[BibT_eX]

[DOI]

Commun. ACM, 2010

Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise.

[BibT_eX]

[DOI]

Zvika Ben-Haim

Proceedings of the IEEE International Conference on Acoustics, 2010

A weighted discriminative approach for image denoising with overcomplete representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2010

On Single Image Scale-Up Using Sparse-Representations.

[BibT_eX]

[DOI]

Roman Zeyde

Proceedings of the Curves and Surfaces, 2010

Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing.

[BibT_eX]

[DOI]

Springer, ISBN: 978-1-4419-7010-7, 2010

2009

A plurality of sparse representations is better than the sparsest one alone.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

Super-Resolution Without Explicit Subpixel Motion Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

Generalizing the Nonlocal-Means to Super-Resolution Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

Super Resolution With Probabilistic Motion Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

Image Sequence Denoising via Sparse and Redundant Representations.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images.

[BibT_eX]

[DOI]

SIAM Rev., 2009

Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image.

[BibT_eX]

[DOI]

Dmitry Datsenko

Comput. J., 2009

Direct Adaptive Algorithms for CT Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2008

Sparse Representation for Color Image Restoration.

[BibT_eX]

[DOI]

Guillermo Sapiro

IEEE Trans. Image Process., 2008

Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2008

Learning Multiscale Sparse Representations for Image and Video Restoration.

[BibT_eX]

[DOI]

Guillermo Sapiro

Multiscale Model. Simul., 2008

Compression of facial images using the K-SVD algorithm.

[BibT_eX]

[DOI]

Ori Bryt

J. Vis. Commun. Image Represent., 2008

On the uniqueness of non-negative sparse & redundant representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

A Weighted Average of Sparse Representations is Better than the Sparsest One Alone.

[BibT_eX]

[DOI]

Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008

08492 Executive Summary - Structured Decompositions and Efficient Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008

08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008

2007

Cross-Modal Localization via Sparsity.

[BibT_eX]

[DOI]

Einat Kidron

IEEE Trans. Signal Process., 2007

Optimized Projections for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

Low Bit-Rate Compression of Facial Images.

[BibT_eX]

[DOI]

Roman Goldenberg

Ron Kimmel

IEEE Trans. Image Process., 2007

Example-based single document image super-resolution: a global MAP approach with outlier rejection.

[BibT_eX]

[DOI]

Dmitry Datsenko

Multidimens. Syst. Signal Process., 2007

On Lebesgue-type inequalities for greedy approximation.

[BibT_eX]

[DOI]

Vladimir N. Temlyakov

J. Approx. Theory, 2007

Biblio: automatic meta-data extraction.

[BibT_eX]

[DOI]

Int. J. Document Anal. Recognit., 2007

Multiscale Sparse Image Representationwith Learned Dictionaries.

[BibT_eX]

[DOI]

Guillermo Sapiro

Proceedings of the International Conference on Image Processing, 2007

2006

K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Why Simple Shrinkage Is Still Relevant for Redundant Representations?

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2006

Stable recovery of sparse overcomplete representations in the presence of noise.

[BibT_eX]

[DOI]

Vladimir N. Temlyakov

IEEE Trans. Inf. Theory, 2006

Multiframe demosaicing and super-resolution of color images.

[BibT_eX]

[DOI]

Sina Farsiu

IEEE Trans. Image Process., 2006

Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Morphological diversity and source separation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2006

On the stability of the basis pursuit in the presence of noise.

[BibT_eX]

[DOI]

Signal Process., 2006

Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences.

[BibT_eX]

[DOI]

Sina Farsiu

EURASIP J. Adv. Signal Process., 2006

Sparse Representations Are Most Likely to Be the Sparsest Possible.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2006

Analysis versus synthesis in signal priors.

[BibT_eX]

[DOI]

Proceedings of the 14th European Signal Processing Conference, 2006

Image Denoising with Shrinkage and Redundant Representations.

[BibT_eX]

[DOI]

Boaz Matalon

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Image Denoising Via Learned Dictionaries and Sparse representation.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

A General Iterative Regularization Framework For Image Denoising.

[BibT_eX]

[DOI]

Michael R. Charest

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005

Image Decomposition via the Combination of Sparse Representations and a Variational Approach.

[BibT_eX]

[DOI]

Jean-Luc Starck

IEEE Trans. Image Process., 2005

Space-dependent color gamut mapping: a variational approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2005

Variable projection for near-optimal filtering in low bit-rate block coders.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2005

The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2005

On the Design of Filters for Gradient-Based Motion Estimation.

[BibT_eX]

[DOI]

Patrick C. Teo

J. Math. Imaging Vis., 2005

Retinex by Two Bilateral Filters.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Pixels that Sound.

[BibT_eX]

[DOI]

Einat Kidron

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Shape from moments - an estimation theory perspective.

[BibT_eX]

[DOI]

Gene H. Golub

IEEE Trans. Signal Process., 2004

Fast and robust multiframe super resolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2004

Advances and challenges in super-resolution.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2004

Improved high-definition video by encoding at an intermediate resolution.

[BibT_eX]

[DOI]

Proceedings of the Visual Communications and Image Processing 2004, 2004

Multiframe demosaicing and super-resolution from undersampled color images.

[BibT_eX]

[DOI]

Sina Farsiu

Proceedings of the Computational Imaging II, San Jose, 2004

2003

Down-scaling for better transform compression.

[BibT_eX]

[DOI]

Ron Kimmel

IEEE Trans. Image Process., 2003

Reduced complexity Retinex algorithm via the variational approach.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2003

A Variational Framework for Retinex.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2003

Optimal framework for low bit-rate block coders.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

Fast and robust super-resolution.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

A generalized uncertainty principle and sparse representation in pairs of bases.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2002

On the origin of the bilateral filter and ways to improve it.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2002

Rejection based classifier for face detection.

[BibT_eX]

[DOI]

Renato Keshet

Pattern Recognit. Lett., 2002

Variational famework for Retinex.

[BibT_eX]

[DOI]

Proceedings of the Human Vision and Electronic Imaging VII, 2002

2001

A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2001

Pattern Detection Using a Maximal Rejection Classifier.

[BibT_eX]

[DOI]

Renato Keshet

Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

On sparse signal representations.

[BibT_eX]

[DOI]

Proceedings of the 2001 International Conference on Image Processing, 2001

Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach.

[BibT_eX]

[DOI]

Ayellet Tal

Sigal Ar

Proceedings of the Eurographics Multimedia Workshop 2001, 2001

1999

Superresolution restoration of an image sequence: adaptive filtering approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 1999

Super-Resolution Reconstruction of Image Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1999

Super-Resolution Reconstruction of Continuous Image Sequences.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Conference on Image Processing, 1999

Optimal Filters for Gradient-based Motion Estimation.

[BibT_eX]

[DOI]

Patrick C. Teo

Proceedings of the International Conference on Computer Vision, 1999

1998

Recursive Optical Flow Estimation - Adaptive Filtering Approach.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 1998

The periodic step gradient descent algorithm - General analysis and application to the super resolution reconstruction problem.

[BibT_eX]

[DOI]

Tamir Sagi

Proceedings of the 9th European Signal Processing Conference, 1998

1997

Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images.

[BibT_eX]

[DOI]