Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images. - Michael Elad; Arie Feuer (IEEE Trans. Image Process., 1997)

The periodic step gradient descent algorithm - General analysis and application to the super resolution reconstruction problem. - Tamir Sagi; Arie Feuer; Michael Elad (EUSIPCO, 1998)

Recursive Optical Flow Estimation - Adaptive Filtering Approach. - Michael Elad; Arie Feuer (J. Vis. Commun. Image Represent., 1998)

Optimal Filters for Gradient-based Motion Estimation. - Michael Elad; Patrick C. Teo; Yacov Hel-Or (ICCV, 1999)

Super-Resolution Reconstruction of Continuous Image Sequences. - Michael Elad; Arie Feuer (ICIP (3), 1999)

Super-Resolution Reconstruction of Image Sequences. - Michael Elad; Arie Feuer (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Superresolution restoration of an image sequence: adaptive filtering approach. - Michael Elad; Arie Feuer (IEEE Trans. Image Process., 1999)

Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach. - Michael Elad; Ayellet Tal; Sigal Ar (Eurographics Multimedia Workshop, 2001)

On sparse signal representations. - Michael Elad; Alfred M. Bruckstein (ICIP (1), 2001)

Pattern Detection Using a Maximal Rejection Classifier. - Michael Elad; Yacov Hel-Or; Renato Keshet (IWVF, 2001)

A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur. - Michael Elad; Yacov Hel-Or (IEEE Trans. Image Process., 2001)

Variational famework for Retinex. - Ron Kimmel; Michael Elad; Doron Shaked; Renato Keshet; Irwin Sobel (Human Vision and Electronic Imaging, 2002)

Rejection based classifier for face detection. - Michael Elad; Yacov Hel-Or; Renato Keshet (Pattern Recognit. Lett., 2002)

On the origin of the bilateral filter and ways to improve it. - Michael Elad (IEEE Trans. Image Process., 2002)

A generalized uncertainty principle and sparse representation in pairs of bases. - Michael Elad; Alfred M. Bruckstein (IEEE Trans. Inf. Theory, 2002)

Fast and robust super-resolution. - Sina Farsiu; M. Dirk Robinson; Michael Elad; Peyman Milanfar (ICIP (2), 2003)

Optimal framework for low bit-rate block coders. - Yaakov Tsaig; Michael Elad; Gene H. Golub; Peyman Milanfar (ICIP (2), 2003)

A Variational Framework for Retinex. - Ron Kimmel; Michael Elad; Doron Shaked; Renato Keshet; Irwin Sobel (Int. J. Comput. Vis., 2003)

Reduced complexity Retinex algorithm via the variational approach. - Michael Elad; Ron Kimmel; Doron Shaked; Renato Keshet (J. Vis. Commun. Image Represent., 2003)

Down-scaling for better transform compression. - Alfred M. Bruckstein; Michael Elad; Ron Kimmel (IEEE Trans. Image Process., 2003)

Multiframe demosaicing and super-resolution from undersampled color images. - Sina Farsiu; Michael Elad; Peyman Milanfar (Computational Imaging, 2004)

Improved high-definition video by encoding at an intermediate resolution. - Andrew Segall; Michael Elad; Peyman Milanfar; Richard Webb; Chad Fogg (VCIP, 2004)

Advances and challenges in super-resolution. - Sina Farsiu; M. Dirk Robinson; Michael Elad; Peyman Milanfar (Int. J. Imaging Syst. Technol., 2004)

Fast and robust multiframe super resolution. - Sina Farsiu; M. Dirk Robinson; Michael Elad; Peyman Milanfar (IEEE Trans. Image Process., 2004)

Shape from moments - an estimation theory perspective. - Michael Elad; Peyman Milanfar; Gene H. Golub (IEEE Trans. Signal Process., 2004)

Pixels that Sound. - Einat Kidron; Yoav Y. Schechner; Michael Elad (CVPR (1), 2005)

Retinex by Two Bilateral Filters. - Michael Elad (Scale-Space, 2005)

On the Design of Filters for Gradient-Based Motion Estimation. - Michael Elad; Patrick C. Teo; Yacov Hel-Or (J. Math. Imaging Vis., 2005)

The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach. - Gregory Boutry; Michael Elad; Gene H. Golub; Peyman Milanfar (SIAM J. Matrix Anal. Appl., 2005)

Variable projection for near-optimal filtering in low bit-rate block coders. - Yaakov Tsaig; Michael Elad; Peyman Milanfar; Gene H. Golub (IEEE Trans. Circuits Syst. Video Technol., 2005)

Space-dependent color gamut mapping: a variational approach. - Ron Kimmel; Doron Shaked; Michael Elad; Irwin Sobel (IEEE Trans. Image Process., 2005)

Image Decomposition via the Combination of Sparse Representations and a Variational Approach. - Jean-Luc Starck; Michael Elad; David L. Donoho (IEEE Trans. Image Process., 2005)

A General Iterative Regularization Framework For Image Denoising. - Michael R. Charest; Michael Elad; Peyman Milanfar (CISS, 2006)

Image Denoising Via Learned Dictionaries and Sparse representation. - Michael Elad; Michal Aharon (CVPR (1), 2006)

Image Denoising with Shrinkage and Redundant Representations. - Michael Elad; Boaz Matalon; Michael Zibulevsky (CVPR (2), 2006)

Analysis versus synthesis in signal priors. - Michael Elad; Peyman Milanfar; Ron Rubinstein (EUSIPCO, 2006)

Sparse Representations Are Most Likely to Be the Sparsest Possible. - Michael Elad (EURASIP J. Adv. Signal Process., 2006)

Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences. - Sina Farsiu; Michael Elad; Peyman Milanfar (EURASIP J. Adv. Signal Process., 2006)

On the stability of the basis pursuit in the presence of noise. - David L. Donoho; Michael Elad (Signal Process., 2006)

Morphological diversity and source separation. - Jérôme Bobin; Yassir Moudden; Jean-Luc Starck; Michael Elad (IEEE Signal Process. Lett., 2006)

Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries. - Michael Elad; Michal Aharon (IEEE Trans. Image Process., 2006)

Multiframe demosaicing and super-resolution of color images. - Sina Farsiu; Michael Elad; Peyman Milanfar (IEEE Trans. Image Process., 2006)

Stable recovery of sparse overcomplete representations in the presence of noise. - David L. Donoho; Michael Elad; Vladimir N. Temlyakov (IEEE Trans. Inf. Theory, 2006)

Why Simple Shrinkage Is Still Relevant for Redundant Representations? - Michael Elad (IEEE Trans. Inf. Theory, 2006)

K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. - Michal Aharon; Michael Elad; Alfred M. Bruckstein (IEEE Trans. Signal Process., 2006)

Multiscale Sparse Image Representationwith Learned Dictionaries. - Julien Mairal; Guillermo Sapiro; Michael Elad (ICIP (3), 2007)

Biblio: automatic meta-data extraction. - Carl Staelin; Michael Elad; Darryl Greig; Oded Shmueli; Marie Vans (Int. J. Document Anal. Recognit., 2007)

On Lebesgue-type inequalities for greedy approximation. - David L. Donoho; Michael Elad; Vladimir N. Temlyakov (J. Approx. Theory, 2007)

Example-based single document image super-resolution: a global MAP approach with outlier rejection. - Dmitry Datsenko; Michael Elad (Multidimens. Syst. Signal Process., 2007)

Low Bit-Rate Compression of Facial Images. - Michael Elad; Roman Goldenberg; Ron Kimmel (IEEE Trans. Image Process., 2007)

Optimized Projections for Compressed Sensing. - Michael Elad (IEEE Trans. Signal Process., 2007)

Cross-Modal Localization via Sparsity. - Einat Kidron; Yoav Y. Schechner; Michael Elad (IEEE Trans. Signal Process., 2007)

08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms. - Stephan Dahlke; Ingrid Daubechies; Michael Elad; Gitta Kutyniok; Gerd Teschke (Structured Decompositions and Efficient Algorithms, 2008)

08492 Executive Summary - Structured Decompositions and Efficient Algorithms. - Stephan Dahlke; Ingrid Daubechies; Michael Elad; Gitta Kutyniok; Gerd Teschke (Structured Decompositions and Efficient Algorithms, 2008)

A Weighted Average of Sparse Representations is Better than the Sparsest One Alone. - Michael Elad; Irad Yavneh (Structured Decompositions and Efficient Algorithms, 2008)

On the uniqueness of non-negative sparse & redundant representations. - Alfred M. Bruckstein; Michael Elad; Michael Zibulevsky (ICASSP, 2008)

Compression of facial images using the K-SVD algorithm. - Ori Bryt; Michael Elad (J. Vis. Commun. Image Represent., 2008)

Learning Multiscale Sparse Representations for Image and Video Restoration. - Julien Mairal; Guillermo Sapiro; Michael Elad (Multiscale Model. Simul., 2008)

Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary. - Michal Aharon; Michael Elad (SIAM J. Imaging Sci., 2008)

Sparse Representation for Color Image Restoration. - Julien Mairal; Michael Elad; Guillermo Sapiro (IEEE Trans. Image Process., 2008)

On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations. - Alfred M. Bruckstein; Michael Elad; Michael Zibulevsky (IEEE Trans. Inf. Theory, 2008)

Direct Adaptive Algorithms for CT Reconstruction. - Joseph Shtok; Michael Elad; Michael Zibulevsky (ISBI, 2009)

Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image. - Michael Elad; Dmitry Datsenko (Comput. J., 2009)

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images. - Alfred M. Bruckstein; David L. Donoho; Michael Elad (SIAM Rev., 2009)

Image Sequence Denoising via Sparse and Redundant Representations. - Matan Protter; Michael Elad (IEEE Trans. Image Process., 2009)

Super Resolution With Probabilistic Motion Estimation. - Matan Protter; Michael Elad (IEEE Trans. Image Process., 2009)

Generalizing the Nonlocal-Means to Super-Resolution Reconstruction. - Matan Protter; Michael Elad; Hiroyuki Takeda; Peyman Milanfar (IEEE Trans. Image Process., 2009)

Super-Resolution Without Explicit Subpixel Motion Estimation. - Hiroyuki Takeda; Peyman Milanfar; Matan Protter; Michael Elad (IEEE Trans. Image Process., 2009)

A plurality of sparse representations is better than the sparsest one alone. - Michael Elad; Irad Yavneh (IEEE Trans. Inf. Theory, 2009)

Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing. - Michael Elad (Springer, 2010)

On Single Image Scale-Up Using Sparse-Representations. - Roman Zeyde; Michael Elad; Matan Protter (Curves and Surfaces, 2010)

A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. - Amir Adler; Yacov Hel-Or; Michael Elad (ECCV (2), 2010)

A weighted discriminative approach for image denoising with overcomplete representations. - Amir Adler; Yacov Hel-Or; Michael Elad (ICASSP, 2010)

Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise. - Zvika Ben-Haim; Yonina C. Eldar; Michael Elad (ICASSP, 2010)

Iterative signal recovery from incomplete samples: technical perspective. - Michael Elad; Raja Giryes (Commun. ACM, 2010)

Corrigendum: Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image. - Michael Elad; Dmitry Datsenko (Comput. J., 2010)

On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary - Javier Turek; Irad Yavneh; Matan Protter; Michael Elad (CoRR, 2010)

The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods - Raja Giryes; Michael Elad; Yonina C. Eldar (CoRR, 2010)

Analysis of Basis Pursuit Via Capacity Sets - Joseph Shtok; Michael Elad (CoRR, 2010)

Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning - Joseph Shtok; Michael Zibulevsky; Michael Elad (CoRR, 2010)

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. - Mohamed-Jalal Fadili; Jean-Luc Starck; Michael Elad; David L. Donoho (Comput. Sci. Eng., 2010)

Applications of Sparse Representation and Compressive Sensing. - Richard G. Baraniuk; Emmanuel J. Candès; Michael Elad; Yi Ma 001 (Proc. IEEE, 2010)

On the Role of Sparse and Redundant Representations in Image Processing. - Michael Elad; Mário A. T. Figueiredo; Yi Ma 001 (Proc. IEEE, 2010)

Dictionaries for Sparse Representation Modeling. - Ron Rubinstein; Alfred M. Bruckstein; Michael Elad (Proc. IEEE, 2010)

L1-L2 Optimization in Signal and Image Processing. - Michael Zibulevsky; Michael Elad (IEEE Signal Process. Mag., 2010)

Coherence-based performance guarantees for estimating a sparse vector under random noise. - Zvika Ben-Haim; Yonina C. Eldar; Michael Elad (IEEE Trans. Signal Process., 2010)

Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary. - Matan Protter; Irad Yavneh; Michael Elad (IEEE Trans. Signal Process., 2010)

Double sparsity: learning sparse dictionaries for sparse signal approximation. - Ron Rubinstein; Michael Zibulevsky; Michael Elad (IEEE Trans. Signal Process., 2010)

Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise. - Sangnam Nam; Michael E. Davies 001; Michael Elad; Rémi Gribonval (CAMSAP, 2011)

Denoising with greedy-like pursuit algorithms. - Raja Giryes; Michael Elad (EUSIPCO, 2011)

Sequential minimal eigenvalues - an approach to analysis dictionary learning. - Boaz Ophir; Michael Elad; Nancy Bertin; Mark D. Plumbley (EUSIPCO, 2011)

A constrained matching pursuit approach to audio declipping. - Amir Adler; Valentin Emiya; Maria G. Jafari; Michael Elad; Rémi Gribonval; Mark D. Plumbley (ICASSP, 2011)

Denoising of image patches via sparse representations with learned statistical dependencies. - Tomer Faktor; Yonina C. Eldar; Michael Elad (ICASSP, 2011)

Cosparse analysis modeling - uniqueness and algorithms. - Sangnam Nam; Michael E. Davies 001; Michael Elad; Rémi Gribonval (ICASSP, 2011)

Sparsity-based Sinogram Denoising for low-dose Computed Tomography. - Joseph Shtok; Michael Elad; Michael Zibulevsky (ICASSP, 2011)

The Cosparse Analysis Model and Algorithms - Sangnam Nam; Mike E. Davies 001; Michael Elad; Rémi Gribonval (CoRR, 2011)

Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051). - Stephan Dahlke; Michael Elad; Yonina C. Eldar; Gitta Kutyniok; Gerd Teschke (Dagstuhl Reports, 2011)

Multi-Scale Dictionary Learning Using Wavelets. - Boaz Ophir; Michael Lustig; Michael Elad (IEEE J. Sel. Top. Signal Process., 2011)

Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. - Jean-Luc Starck; Jalal Fadili; Michael Elad; Robert D. Nowak; Panagiotis Tsakalides (IEEE J. Sel. Top. Signal Process., 2011)

Generalized Tree-Based Wavelet Transform. - Idan Ram; Michael Elad; Israel Cohen (IEEE Trans. Signal Process., 2011)

On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary. - Javier Turek; Irad Yavneh; Michael Elad (IEEE Trans. Signal Process., 2011)

Example-based cross-modal denoising. - Dana Segev; Yoav Y. Schechner; Michael Elad (CVPR, 2012)

Cosamp and SP for the cosparse analysis model. - Raja Giryes; Michael Elad (EUSIPCO, 2012)

K-SVD dictionary-learning for the analysis sparse model. - Ron Rubinstein; Tomer Faktor; Michael Elad (ICASSP, 2012)

Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model - Tomer Peleg; Michael Elad (CoRR, 2012)

Sparse and Redundant Representation Modeling - What Next? - Michael Elad (IEEE Signal Process. Lett., 2012)

Redundant Wavelets on Graphs and High Dimensional Data Clouds. - Idan Ram; Michael Elad; Israel Cohen (IEEE Signal Process. Lett., 2012)

Audio Inpainting. - Amir Adler; Valentin Emiya; Maria G. Jafari; Michael Elad; Rémi Gribonval; Mark D. Plumbley (IEEE Trans. Speech Audio Process., 2012)

RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT. - Raja Giryes; Michael Elad (IEEE Trans. Signal Process., 2012)

Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery. - Tomer Peleg; Yonina C. Eldar; Michael Elad (IEEE Trans. Signal Process., 2012)

Can we allow linear dependencies in the dictionary in the sparse synthesis framework? - Raja Giryes; Michael Elad (ICASSP, 2013)

Image denoising using NL-means via smooth patch ordering. - Idan Ram; Michael Elad; Israel Cohen (ICASSP, 2013)

Improving K-SVD denoising by post-processing its method-noise. - Yaniv Romano; Michael Elad (ICIP, 2013)

Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. - Joseph Shtok; Michael Zibulevsky; Michael Elad (CoRR, 2013)

Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. - Joseph Shtok; Michael Elad; Michael Zibulevsky (Int. J. Biomed. Imaging, 2013)

Probabilistic Subspace Clustering Via Sparse Representations. - Amir Adler; Michael Elad; Yacov Hel-Or (IEEE Signal Process. Lett., 2013)

Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse. - Leslie N. Smith; Michael Elad (IEEE Signal Process. Lett., 2013)

Image Processing Using Smooth Ordering of its Patches. - Idan Ram; Michael Elad; Israel Cohen (IEEE Trans. Image Process., 2013)

Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model. - Tomer Peleg; Michael Elad (IEEE Trans. Inf. Theory, 2013)

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model. - Ron Rubinstein; Tomer Peleg; Michael Elad (IEEE Trans. Signal Process., 2013)

Expected Patch Log Likelihood with a Sparse Prior. - Jeremias Sulam; Michael Elad (EMMCVPR, 2014)

Sparsity based poisson inpainting. - Raja Giryes; Michael Elad (ICIP, 2014)

Image denoising through multi-scale learnt dictionaries. - Jeremias Sulam; Boaz Ophir; Michael Elad (ICIP, 2014)

Sparsity Based Methods for Overparametrized Variational Problems. - Raja Giryes; Michael Elad; Alfred M. Bruckstein (CoRR, 2014)

Bi-l0-l2-Norm Regularization for Blind Motion Deblurring. - Wen-Ze Shao; Haibo Li 001; Michael Elad (CoRR, 2014)

On MAP and MMSE estimators for the co-sparse analysis model. - Javier Turek; Irad Yavneh; Michael Elad (Digit. Signal Process., 2014)

Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform. - Idan Ram; Israel Cohen; Michael Elad (IEEE Signal Process. Lett., 2014)

Sparsity-Based Poisson Denoising With Dictionary Learning. - Raja Giryes; Michael Elad (IEEE Trans. Image Process., 2014)

A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution. - Tomer Peleg; Michael Elad (IEEE Trans. Image Process., 2014)

Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems. - Idan Ram; Israel Cohen; Michael Elad (IEEE Trans. Image Process., 2014)

Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling. - Yaniv Romano; Matan Protter; Michael Elad (IEEE Trans. Image Process., 2014)

Dictionary Learning for Analysis-Synthesis Thresholding. - Ron Rubinstein; Michael Elad (IEEE Trans. Signal Process., 2014)

Patch-disagreement as away to improve K-SVD denoising. - Yaniv Romano; Michael Elad (ICASSP, 2015)

Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation. - Javier S. Turek; Jeremias Sulam; Michael Elad; Irad Yavneh (ICASSP, 2015)

Simple, Accurate, and Robust Nonparametric Blind Super-Resolution. - Wenze Shao; Michael Elad (ICIG (3), 2015)

Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets. - Esben Plenge; Mitchell A. Cooper; Martin R. Prince; Yi Wang 028; Pascal Spincemaille; Michael Elad (ISBI, 2015)

SOS Boosting of Image Denoising Algorithms. - Yaniv Romano; Michael Elad (CoRR, 2015)

Clutter Mitigation in Echocardiography Using Sparse Signal Separation. - Javier S. Turek; Michael Elad; Irad Yavneh (Int. J. Biomed. Imaging, 2015)

Guest Editorial: Sparse Coding. - Julien Mairal; Michael Elad; Francis R. Bach (Int. J. Comput. Vis., 2015)

Bi-l0-l2-norm regularization for blind motion deblurring. - Wen-Ze Shao; Haibo Li 001; Michael Elad (J. Vis. Commun. Image Represent., 2015)

Sparsity Based Methods for Overparameterized Variational Problems. - Raja Giryes; Michael Elad; Alfred M. Bruckstein (SIAM J. Imaging Sci., 2015)

Boosting of Image Denoising Algorithms. - Yaniv Romano; Michael Elad (SIAM J. Imaging Sci., 2015)

Self-content-based audio inpainting. - Yuval Bahat; Yoav Y. Schechner; Michael Elad (Signal Process., 2015)

Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. - David Boublil; Michael Elad; Joseph Shtok; Michael Zibulevsky (IEEE Trans. Medical Imaging, 2015)

Linear-Time Subspace Clustering via Bipartite Graph Modeling. - Amir Adler; Michael Elad; Yacov Hel-Or (IEEE Trans. Neural Networks Learn. Syst., 2015)

Sparse Coding with Anomaly Detection. - Amir Adler; Michael Elad; Yacov Hel-Or; Ehud Rivlin (J. Signal Process. Syst., 2015)

Turning a denoiser into a super-resolver using plug and play priors. - Alon Brifman; Yaniv Romano; Michael Elad (ICIP, 2016)

Image restoration via successive compression. - Yehuda Dar; Alfred M. Bruckstein; Michael Elad (PCS, 2016)

A Deep Learning Approach to Block-based Compressed Sensing of Images. - Amir Adler; David Boublil; Michael Elad; Michael Zibulevsky (CoRR, 2016)

Compressed Learning: A Deep Neural Network Approach. - Amir Adler; Michael Elad; Michael Zibulevsky (CoRR, 2016)

Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding. - Vardan Papyan; Jeremias Sulam; Michael Elad (CoRR, 2016)

Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding. - Vardan Papyan; Jeremias Sulam; Michael Elad (CoRR, 2016)

Linearized Kernel Dictionary Learning. - Alona Golts; Michael Elad (IEEE J. Sel. Top. Signal Process., 2016)

Poisson inverse problems by the Plug-and-Play scheme. - Arie Rond; Raja Giryes; Michael Elad (J. Vis. Commun. Image Represent., 2016)

Patch Ordering as a Regularization for Inverse Problems in Image Processing. - Gregory Vaksman; Michael Zibulevsky; Michael Elad (SIAM J. Imaging Sci., 2016)

Large Inpainting of Face Images With Trainlets. - Jeremias Sulam; Michael Elad (IEEE Signal Process. Lett., 2016)

Postprocessing of Compressed Images via Sequential Denoising. - Yehuda Dar; Alfred M. Bruckstein; Michael Elad; Raja Giryes (IEEE Trans. Image Process., 2016)

Multi-Scale Patch-Based Image Restoration. - Vardan Papyan; Michael Elad (IEEE Trans. Image Process., 2016)

Con-Patch: When a Patch Meets Its Context. - Yaniv Romano; Michael Elad (IEEE Trans. Image Process., 2016)

Dual Graph Regularized Dictionary Learning. - Yael Yankelevsky; Michael Elad (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Trainlets: Dictionary Learning in High Dimensions. - Jeremias Sulam; Boaz Ophir; Michael Zibulevsky; Michael Elad (IEEE Trans. Signal Process., 2016)

Structure-aware classification using supervised dictionary learning. - Yael Yankelevsky; Michael Elad (ICASSP, 2017)

Convolutional Dictionary Learning via Local Processing. - Vardan Papyan; Yaniv Romano; Michael Elad; Jeremias Sulam (ICCV, 2017)

On the Global-Local Dichotomy in Sparsity Modeling. - Dmitry Batenkov; Yaniv Romano; Michael Elad (CoRR, 2017)

Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. - Jeremias Sulam; Vardan Papyan; Yaniv Romano; Michael Elad (CoRR, 2017)

Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. - Vardan Papyan; Yaniv Romano; Michael Elad (J. Mach. Learn. Res., 2017)

The Little Engine That Could: Regularization by Denoising (RED). - Yaniv Romano; Michael Elad; Peyman Milanfar (SIAM J. Imaging Sci., 2017)

Style Transfer Via Texture Synthesis. - Michael Elad; Peyman Milanfar (IEEE Trans. Image Process., 2017)

Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding. - Vardan Papyan; Jeremias Sulam; Michael Elad (IEEE Trans. Signal Process., 2017)

RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. - Yaniv Romano; Michael Elad; Peyman Milanfar (ICASSP, 2018)

Projecting on to the Multi-Layer Convolutional Sparse Coding Model. - Jeremias Sulam; Vardan Papyan; Yaniv Romano; Michael Elad (ICASSP, 2018)

Dictionary Learning for High Dimensional Graph Signals. - Yael Yankelevsky; Michael Elad (ICASSP, 2018)

Compression for Multiple Reconstructions. - Yehuda Dar; Michael Elad; Alfred M. Bruckstein (ICIP, 2018)

System-Aware Compression. - Yehuda Dar; Michael Elad; Alfred M. Bruckstein (ISIT, 2018)

Classification Stability for Sparse-Modeled Signals. - Yaniv Romano; Michael Elad (CoRR, 2018)

Deep Energy: Using Energy Functions for Unsupervised Training of DNNs. - Alona Golts; Daniel Freedman; Michael Elad (CoRR, 2018)

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Jeremias Sulam; Aviad Aberdam; Michael Elad (CoRR, 2018)

Improving Pursuit Algorithms Using Stochastic Resonance. - Dror Simon; Jeremias Sulam; Yaniv Romano; Yue M. Lu; Michael Elad (CoRR, 2018)

A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model. - Ev Zisselman; Jeremias Sulam; Michael Elad (CoRR, 2018)

Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks. - Vardan Papyan; Yaniv Romano; Jeremias Sulam; Michael Elad (IEEE Signal Process. Mag., 2018)

Optimized Pre-Compensating Compression. - Yehuda Dar; Michael Elad; Alfred M. Bruckstein (IEEE Trans. Image Process., 2018)

Example-Based Image Synthesis via Randomized Patch-Matching. - Yi Ren 005; Yaniv Romano; Michael Elad (IEEE Trans. Image Process., 2018)

Restoration by Compression. - Yehuda Dar; Michael Elad; Alfred M. Bruckstein (IEEE Trans. Signal Process., 2018)

Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. - Jeremias Sulam; Vardan Papyan; Yaniv Romano; Michael Elad (IEEE Trans. Signal Process., 2018)

A Local Block Coordinate Descent Algorithm for the CSC Model. - Ev Zisselman; Jeremias Sulam; Michael Elad (CVPR, 2019)

SOS Boosting for Image Deblurring Algorithms. - Shahar Romem Peled; Yaniv Romano; Michael Elad (EUSIPCO, 2019)

Rethinking the CSC Model for Natural Images. - Dror Simon; Michael Elad (NeurIPS, 2019)

DeepRED: Deep Image Prior Powered by RED. - Gary Mataev; Michael Elad; Peyman Milanfar (CoRR, 2019)

Low-Weight and Learnable Image Denoising. - Gregory Vaksman; Michael Elad; Peyman Milanfar (CoRR, 2019)

Acceleration of RED via vector extrapolation. - Tao Hong 006; Yaniv Romano; Michael Elad (J. Vis. Commun. Image Represent., 2019)

Multi-Layer Sparse Coding: The Holistic Way. - Aviad Aberdam; Jeremias Sulam; Michael Elad (SIAM J. Math. Data Sci., 2019)

Unified Single-Image and Video Super-Resolution via Denoising Algorithms. - Alon Brifman; Yaniv Romano; Michael Elad (IEEE Trans. Image Process., 2019)

MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance. - Dror Simon; Jeremias Sulam; Yaniv Romano; Yue M. Lu; Michael Elad (IEEE Trans. Signal Process., 2019)

Finding GEMS: Multi-Scale Dictionaries For High-Dimensional Graph Signals. - Yael Yankelevsky; Michael Elad (IEEE Trans. Signal Process., 2019)

LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. - Gregory Vaksman; Michael Elad; Peyman Milanfar (CVPR Workshops, 2020)

Better Compression with Deep Pre-Editing. - Hossein Talebi; Damien Kelly; Xiyang Luo; Ignacio Garcia-Dorado; Feng Yang 008; Peyman Milanfar; Michael Elad (CoRR, 2020)

When and How Can Deep Generative Models be Inverted? - Aviad Aberdam; Dror Simon; Michael Elad (CoRR, 2020)

Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals. - Yaniv Romano; Aviad Aberdam; Jeremias Sulam; Michael Elad (J. Math. Imaging Vis., 2020)

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Jeremias Sulam; Aviad Aberdam; Amir Beck; Michael Elad (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. - Alona Golts; Daniel Freedman; Michael Elad (IEEE Trans. Image Process., 2020)

Variations on the Convolutional Sparse Coding Model. - Ives Rey-Otero; Jeremias Sulam; Michael Elad (IEEE Trans. Signal Process., 2020)

The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. - Xiyang Luo; Hossein Talebi; Feng Yang 008; Michael Elad; Peyman Milanfar (DCC, 2021)

Patch Craft: Video Denoising by Deep Modeling and Patch Matching. - Gregory Vaksman; Michael Elad; Peyman Milanfar (ICCV, 2021)

Stochastic Image Denoising by Sampling from the Posterior Distribution. - Bahjat Kawar; Gregory Vaksman; Michael Elad (ICCVW, 2021)

High Perceptual Quality Image Denoising with a Posterior Sampling CGAN. - Guy Ohayon; Theo Adrai; Gregory Vaksman; Michael Elad; Peyman Milanfar (ICCVW, 2021)

SNIPS: Solving Noisy Inverse Problems Stochastically. - Bahjat Kawar; Gregory Vaksman; Michael Elad (NeurIPS, 2021)

Improved Image Generation via Sparse Modeling. - Roy Ganz; Michael Elad (CoRR, 2021)

Deep Energy: Task Driven Training of Deep Neural Networks. - Alona Golts; Daniel Freedman; Michael Elad (IEEE J. Sel. Top. Signal Process., 2021)

Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond. - Rajaei Khatib; Dror Simon; Michael Elad (J. Vis. Commun. Image Represent., 2021)

Regularization by Denoising via Fixed-Point Projection (RED-PRO). - Regev Cohen; Michael Elad; Peyman Milanfar (SIAM J. Imaging Sci., 2021)

Better Compression With Deep Pre-Editing. - Hossein Talebi Esfandarani; Damien Kelly; Xiyang Luo; Ignacio Garcia-Dorado; Feng Yang 008; Peyman Milanfar; Michael Elad (IEEE Trans. Image Process., 2021)

Deep K-SVD Denoising. - Meyer Scetbon; Michael Elad; Peyman Milanfar (IEEE Trans. Image Process., 2021)

Simultaneous Detection and Classification of Partially and Weakly Supervised Cells. - Alona Golts; Ido Livneh; Yaniv Zohar; Aaron Ciechanover; Michael Elad (ECCV Workshops (3), 2022)

Denoising Diffusion Restoration Models. - Bahjat Kawar; Michael Elad; Stefano Ermon; Jiaming Song (NeurIPS, 2022)

Threat Model-Agnostic Adversarial Defense using Diffusion Models. - Tsachi Blau; Roy Ganz; Bahjat Kawar; Alex M. Bronstein; Michael Elad (CoRR, 2022)

Do Perceptually Aligned Gradients Imply Adversarial Robustness? - Roy Ganz; Bahjat Kawar; Michael Elad (CoRR, 2022)

JPEG Artifact Correction using Denoising Diffusion Restoration Models. - Bahjat Kawar; Jiaming Song; Stefano Ermon; Michael Elad (CoRR, 2022)

Patch-Craft Self-Supervised Training for Correlated Image Denoising. - Gregory Vaksman; Michael Elad (CoRR, 2022)

What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems. - Gilad Kutiel; Regev Cohen; Michael Elad; Daniel Freedman (CoRR, 2022)

Towards A Most Probable Recovery in Optical Imaging. - Nadav Torem; Roi Ronen; Yoav Y. Schechner; Michael Elad (CoRR, 2022)

Ada-LISTA: Learned Solvers Adaptive to Varying Models. - Aviad Aberdam; Alona Golts; Michael Elad (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

High-Perceptual Quality JPEG Decoding via Posterior Sampling. - Sean Man; Guy Ohayon; Theo Adrai; Michael Elad (CVPR Workshops, 2023)

PatchCraft Self-Supervised Training for Correlated Image Denoising. - Gregory Vaksman; Michael Elad (CVPR, 2023)

Semi-supervised Quality Evaluation of Colonoscopy Procedures. - Idan Kligvasser; George Leifman; Roman Goldenberg; Ehud Rivlin; Michael Elad (ICCV (Workshops), 2023)

Complex-Valued Retrievals From Noisy Images Using Diffusion Models. - Nadav Torem; Roi Ronen; Yoav Y. Schechner; Michael Elad (ICCV (Workshops), 2023)

Do Perceptually Aligned Gradients Imply Robustness? - Roy Ganz; Bahjat Kawar; Michael Elad (ICML, 2023)

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality. - Guy Ohayon; Theo Joseph Adrai; Michael Elad; Tomer Michaeli (ICML, 2023)

Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. - George Leifman; Idan Kligvasser; Roman Goldenberg; Ehud Rivlin; Michael Elad (CaPTion@MICCAI, 2023)

Diffusion Models for Generative Histopathology. - Niranjan Sridhar; Michael Elad; Carson McNeil; Ehud Rivlin; Daniel Freedman (DGM4MICCAI, 2023)

Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration. - Theo Adrai; Guy Ohayon; Michael Elad; Tomer Michaeli (NeurIPS, 2023)

Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. - Gilad Kutiel; Regev Cohen; Michael Elad; Daniel Freedman; Ehud Rivlin (TML4H, 2023)

Weakly-supervised Representation Learning for Video Alignment and Analysis. - Guy Bar-Shalom; George Leifman; Michael Elad; Ehud Rivlin (CoRR, 2023)

Classifier Robustness Enhancement Via Test-Time Transformation. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alexander M. Bronstein (CoRR, 2023)

BIGRoC: Boosting Image Generation via a Robust Classifier. - Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 2023)

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. - Bahjat Kawar; Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 2023)

Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper. - Michael Elad; Bahjat Kawar; Gregory Vaksman (SIAM J. Imaging Sci., 2023)

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling. - Noam Elata; Tomer Michaeli; Michael Elad (ECCV (78), 2024)

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation. - Roi Benita; Michael Elad; Joseph Keshet (ICLR, 2024)

The Perception-Robustness Tradeoff in Deterministic Image Restoration. - Guy Ohayon; Tomer Michaeli; Michael Elad (ICML, 2024)

Early Time Classification with Accumulated Accuracy Gap Control. - Liran Ringel; Regev Cohen; Daniel Freedman; Michael Elad; Yaniv Romano (ICML, 2024)

Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination. - Shelly Golan; Roy Ganz; Michael Elad (NeurIPS, 2024)

Perceptual Fairness in Image Restoration. - Guy Ohayon; Michael Elad; Tomer Michaeli (NeurIPS, 2024)

Weakly-Supervised Representation Learning for Video Alignment and Analysis. - Guy Bar-Shalom; George Leifman; Michael Elad (WACV, 2024)

Nested Diffusion Processes for Anytime Image Generation. - Noam Elata; Bahjat Kawar; Tomer Michaeli; Michael Elad (WACV, 2024)

CLIPAG: Towards Generator-Free Text-to-Image Generation. - Roy Ganz; Michael Elad (WACV, 2024)

Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. - Omer Belhasin; Idan Kligvasser; George Leifman; Regev Cohen; Erin Rainaldi; Li-Fang Cheng; Nishant Verma; Paul Varghese; Ehud Rivlin; Michael Elad (CoRR, 2024)

Zero-Shot Image Compression with Diffusion-Based Posterior Sampling. - Noam Elata; Tomer Michaeli; Michael Elad (CoRR, 2024)

GSURE-Based Diffusion Model Training with Corrupted Data. - Bahjat Kawar; Noam Elata; Tomer Michaeli; Michael Elad (Trans. Mach. Learn. Res., 2024)

Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems. - Omer Belhasin; Yaniv Romano; Daniel Freedman; Ehud Rivlin; Michael Elad (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration. - Guy Ohayon; Tomer Michaeli; Michael Elad (ICLR, 2025)

Class-Conditioned Transformation for Enhanced Robust Image Classification. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alex M. Bronstein (WACV, 2025)

Anchored Diffusion for Video Face Reenactment. - Idan Kligvasser; Regev Cohen; George Leifman; Ehud Rivlin; Michael Elad (WACV, 2025)

Text-to-Image Generation Via Energy-Based CLIP. - Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 2025)

SILO: Solving Inverse Problems with Latent Operators. - Ron Raphaeli; Sean Man; Michael Elad (CoRR, 2025)

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration. - Sean Man; Guy Ohayon; Ron Raphaeli; Michael Elad (CoRR, 2025)

Designing Scheduling for Diffusion Models via Spectral Analysis. - Roi Benita; Michael Elad; Joseph Keshet (CoRR, 2025)

Compressed Image Generation with Denoising Diffusion Codebook Models. - Guy Ohayon; Hila Manor; Tomer Michaeli; Michael Elad (CoRR, 2025)

InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. - Noam Elata; Hyungjin Chung; Jong Chul Ye; Tomer Michaeli; Michael Elad (CoRR, 2025)