Michael Elad

Amir Adler, Michael Elad, Yacov Hel-Or: Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Process. Lett. 20(1): 63-66 (2013)

Leslie N. Smith, Michael Elad: Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse. IEEE Signal Process. Lett. 20(1): 79-82 (2013)

Tomer Peleg, Michael Elad: Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model. IEEE Transactions on Information Theory 59(3): 1832-1845 (2013)

Ron Rubinstein, Tomer Peleg, Michael Elad: Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model. IEEE Transactions on Signal Processing 61(3): 661-677 (2013)

Raja Giryes, Michael Elad: Can we allow linear dependencies in the dictionary in the sparse synthesis framework? CoRR abs/1303.5655 (2013)

Idan Ram, Michael Elad, Israel Cohen: Redundant Wavelets on Graphs and High Dimensional Data Clouds. IEEE Signal Process. Lett. 19(5): 291-294 (2012)

Michael Elad: Sparse and Redundant Representation Modeling - What Next? IEEE Signal Process. Lett. 19(12): 922-928 (2012)

Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley: Audio Inpainting. IEEE Transactions on Audio, Speech & Language Processing 20(3): 922-932 (2012)

Raja Giryes, Michael Elad: RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT. IEEE Transactions on Signal Processing 60(3): 1465-1468 (2012)

Tomer Peleg, Yonina C. Eldar, Michael Elad: Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery. IEEE Transactions on Signal Processing 60(5): 2286-2303 (2012)

Dana Segev, Yoav Y. Schechner, Michael Elad: Example-based cross-modal denoising. CVPR 2012: 486-493

Ron Rubinstein, Tomer Faktor, Michael Elad: K-SVD dictionary-learning for the analysis sparse model. ICASSP 2012: 5405-5408

Tomer Peleg, Michael Elad: Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model. CoRR abs/1203.2769 (2012)

Idan Ram, Michael Elad, Israel Cohen: Image Processing using Smooth Ordering of its Patches. CoRR abs/1210.3832 (2012)

Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert Nowak, Panagiotis Tsakalides: Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. J. Sel. Topics Signal Processing 5(5): 893-895 (2011)

Boaz Ophir, Michael Lustig, Michael Elad: Multi-Scale Dictionary Learning Using Wavelets. J. Sel. Topics Signal Processing 5(5): 1014-1024 (2011)

Javier Turek, Irad Yavneh, Michael Elad: On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary. IEEE Transactions on Signal Processing 59(8): 3526-3535 (2011)

Idan Ram, Michael Elad, Israel Cohen: Generalized Tree-Based Wavelet Transform. IEEE Transactions on Signal Processing 59(9): 4199-4209 (2011)

Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley: A constrained matching pursuit approach to audio declipping. ICASSP 2011: 329-332

Joseph Shtok, Michael Elad, Michael Zibulevsky: Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP 2011: 569-572

Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval: Cosparse analysis modeling - uniqueness and algorithms. ICASSP 2011: 5804-5807

Tomer Faktor, Yonina C. Eldar, Michael Elad: Denoising of image patches via sparse representations with learned statistical dependencies. ICASSP 2011: 5820-5823

Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval: The Cosparse Analysis Model and Algorithms. CoRR abs/1106.4987 (2011)

Idan Ram, Michael Elad, Israel Cohen: Redundant Wavelets on Graphs and High Dimensional Data Clouds. CoRR abs/1111.4619 (2011)

Stephan Dahlke, Michael Elad, Yonina C. Eldar, Gitta Kutyniok, Gerd Teschke: Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051). Dagstuhl Reports 1(1): 108-127 (2011)

Michael Elad: Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing. Springer 2010, isbn 978-1-4419-7010-7, pp. I-XX, 1-376

Michael Elad, Raja Giryes: Iterative signal recovery from incomplete samples: technical perspective. Commun. ACM 53(12): 92 (2010)

Michael Elad, Dmitry Datsenko: Corrigendum: Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image. Comput. J. 53(7): 1131 (2010)

Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho: MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. Computing in Science and Engineering 12(1): 44-63 (2010)

Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma: Applications of Sparse Representation and Compressive Sensing. Proceedings of the IEEE 98(6): 906-909 (2010)

Michael Elad, Mário A. T. Figueiredo, Yi Ma: On the Role of Sparse and Redundant Representations in Image Processing. Proceedings of the IEEE 98(6): 972-982 (2010)

Ron Rubinstein, Alfred M. Bruckstein, Michael Elad: Dictionaries for Sparse Representation Modeling. Proceedings of the IEEE 98(6): 1045-1057 (2010)

Ron Rubinstein, Michael Zibulevsky, Michael Elad: Double sparsity: learning sparse dictionaries for sparse signal approximation. IEEE Transactions on Signal Processing 58(3): 1553-1564 (2010)

Matan Protter, Irad Yavneh, Michael Elad: Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary. IEEE Transactions on Signal Processing 58(7): 3471-3484 (2010)

Zvika Ben-Haim, Yonina C. Eldar, Michael Elad: Coherence-based performance guarantees for estimating a sparse vector under random noise. IEEE Transactions on Signal Processing 58(10): 5030-5043 (2010)

Roman Zeyde, Michael Elad, Matan Protter: On Single Image Scale-Up Using Sparse-Representations. Curves and Surfaces 2010: 711-730

Amir Adler, Yacov Hel-Or, Michael Elad: A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. ECCV (2) 2010: 622-635

Amir Adler, Yacov Hel-Or, Michael Elad: A weighted discriminative approach for image denoising with overcomplete representations. ICASSP 2010: 782-785

Zvika Ben-Haim, Yonina C. Eldar, Michael Elad: Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise. ICASSP 2010: 3590-3593

Javier Turek, Irad Yavneh, Matan Protter, Michael Elad: On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary. CoRR abs/1003.3984 (2010)

Raja Giryes, Michael Elad, Yonina C. Eldar: The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods. CoRR abs/1003.3985 (2010)

Joseph Shtok, Michael Elad: Analysis of Basis Pursuit Via Capacity Sets. CoRR abs/1004.4329 (2010)

Joseph Shtok, Michael Zibulevsky, Michael Elad: Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning. CoRR abs/1004.4373 (2010)

Tomer Faktor, Yonina C. Eldar, Michael Elad: Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery. CoRR abs/1010.5734 (2010)

Idan Ram, Michael Elad, Israel Cohen: Generalized Tree-Based Wavelet Transform. CoRR abs/1011.4615 (2010)

Michael Elad, Dmitry Datsenko: Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image. Comput. J. 52(1): 15-30 (2009)

Alfred M. Bruckstein, David L. Donoho, Michael Elad: From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images. SIAM Review 51(1): 34-81 (2009)

Matan Protter, Michael Elad: Image Sequence Denoising via Sparse and Redundant Representations. IEEE Transactions on Image Processing 18(1): 27-35 (2009)

Matan Protter, Michael Elad, Hiroyuki Takeda, Peyman Milanfar: Generalizing the Nonlocal-Means to Super-Resolution Reconstruction. IEEE Transactions on Image Processing 18(1): 36-51 (2009)

Matan Protter, Michael Elad: Super Resolution With Probabilistic Motion Estimation. IEEE Transactions on Image Processing 18(8): 1899-1904 (2009)

Hiroyuki Takeda, Peyman Milanfar, Matan Protter, Michael Elad: Super-Resolution Without Explicit Subpixel Motion Estimation. IEEE Transactions on Image Processing 18(9): 1958-1975 (2009)

Michael Elad, Irad Yavneh: A plurality of sparse representations is better than the sparsest one alone. IEEE Transactions on Information Theory 55(10): 4701-4714 (2009)

Joseph Shtok, Michael Elad, Michael Zibulevsky: Direct Adaptive Algorithms for CT Reconstruction. ISBI 2009: 181-184

Ori Bryt, Michael Elad: Compression of facial images using the K-SVD algorithm. J. Visual Communication and Image Representation 19(4): 270-282 (2008)

Julien Mairal, Guillermo Sapiro, Michael Elad: Learning Multiscale Sparse Representations for Image and Video Restoration. Multiscale Modeling & Simulation 7(1): 214-241 (2008)

Michal Aharon, Michael Elad: Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary. SIAM J. Imaging Sciences 1(3): 228-247 (2008)

Julien Mairal, Michael Elad, Guillermo Sapiro: Sparse Representation for Color Image Restoration. IEEE Transactions on Image Processing 17(1): 53-69 (2008)

Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky: On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations. IEEE Transactions on Information Theory 54(11): 4813-4820 (2008)

Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky: On the uniqueness of non-negative sparse & redundant representations. ICASSP 2008: 5145-5148

Carl Staelin, Michael Elad, Darryl Greig, Oded Shmueli, Marie Vans: Biblio: automatic meta-data extraction. IJDAR 10(2): 113-126 (2007)

David L. Donoho, Michael Elad, Vladimir N. Temlyakov: On Lebesgue-type inequalities for greedy approximation. Journal of Approximation Theory 147(2): 185-195 (2007)

Michael Elad, Roman Goldenberg, Ron Kimmel: Low Bit-Rate Compression of Facial Images. IEEE Transactions on Image Processing 16(9): 2379-2383 (2007)

Einat Kidron, Yoav Y. Schechner, Michael Elad: Cross-Modal Localization via Sparsity. IEEE Transactions on Signal Processing 55(4): 1390-1404 (2007)

Michael Elad: Optimized Projections for Compressed Sensing. IEEE Transactions on Signal Processing 55(12): 5695-5702 (2007)

Julien Mairal, Guillermo Sapiro, Michael Elad: Multiscale Sparse Image Representationwith Learned Dictionaries. ICIP (3) 2007: 105-108

Michael Elad: Sparse Representations Are Most Likely to Be the Sparsest Possible. EURASIP J. Adv. Sig. Proc. 2006 (2006)

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

David L. Donoho, Michael Elad: On the stability of the basis pursuit in the presence of noise. Signal Processing 86(3): 511-532 (2006)

Sina Farsiu, Michael Elad, Peyman Milanfar: Multiframe demosaicing and super-resolution of color images. IEEE Transactions on Image Processing 15(1): 141-159 (2006)

Michael Elad, Michal Aharon: Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries. IEEE Transactions on Image Processing 15(12): 3736-3745 (2006)

David L. Donoho, Michael Elad, Vladimir N. Temlyakov: Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Transactions on Information Theory 52(1): 6-18 (2006)

Michael Elad: Why Simple Shrinkage Is Still Relevant for Redundant Representations? IEEE Transactions on Information Theory 52(12): 5559-5569 (2006)

Michael Elad, Michal Aharon: Image Denoising Via Learned Dictionaries and Sparse representation. CVPR (1) 2006: 895-900

Michael Elad, Boaz Matalon, Michael Zibulevsky: Image Denoising with Shrinkage and Redundant Representations. CVPR (2) 2006: 1924-1931

Michael Elad, Patrick C. Teo, Yacov Hel-Or: On the Design of Filters for Gradient-Based Motion Estimation. Journal of Mathematical Imaging and Vision 23(3): 345-365 (2005)

Gregory Boutry, Michael Elad, Gene H. Golub, Peyman Milanfar: The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach. SIAM J. Matrix Analysis Applications 27(2): 582-601 (2005)

Yaakov Tsaig, Michael Elad, Peyman Milanfar, Gene H. Golub: Variable projection for near-optimal filtering in low bit-rate block coders. IEEE Trans. Circuits Syst. Video Techn. 15(1): 154-160 (2005)

Ron Kimmel, Doron Shaked, Michael Elad, Irwin Sobel: Space-dependent color gamut mapping: a variational approach. IEEE Transactions on Image Processing 14(6): 796-803 (2005)

Jean-Luc Starck, Michael Elad, David L. Donoho: Image Decomposition via the Combination of Sparse Representations and a Variational Approach. IEEE Transactions on Image Processing 14(10): 1570-1582 (2005)

Einat Kidron, Yoav Y. Schechner, Michael Elad: Pixels that Sound. CVPR (1) 2005: 88-95

Michael Elad: Retinex by Two Bilateral Filters. Scale-Space 2005: 217-229

Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar: Advances and challenges in super-resolution. Int. J. Imaging Systems and Technology 14(2): 47-57 (2004)

Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar: Fast and robust multiframe super resolution. IEEE Transactions on Image Processing 13(10): 1327-1344 (2004)

Michael Elad, Peyman Milanfar, Gene H. Golub: Shape from moments - an estimation theory perspective. IEEE Transactions on Signal Processing 52(7): 1814-1829 (2004)

Ron Kimmel, Michael Elad, Doron Shaked, Renato Keshet, Irwin Sobel: A Variational Framework for Retinex. International Journal of Computer Vision 52(1): 7-23 (2003)

Michael Elad, Ron Kimmel, Doron Shaked, Renato Keshet: Reduced complexity Retinex algorithm via the variational approach. J. Visual Communication and Image Representation 14(4): 369-388 (2003)

Alfred M. Bruckstein, Michael Elad, Ron Kimmel: Down-scaling for better transform compression. IEEE Transactions on Image Processing 12(9): 1132-1144 (2003)

Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman Milanfar: Optimal framework for low bit-rate block coders. ICIP (2) 2003: 219-222

Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar: Fast and robust super-resolution. ICIP (2) 2003: 291-294

Michael Elad, Yacov Hel-Or, Renato Keshet: Rejection based classifier for face detection. Pattern Recognition Letters 23(12): 1459-1471 (2002)

Michael Elad: On the origin of the bilateral filter and ways to improve it. IEEE Transactions on Image Processing 11(10): 1141-1151 (2002)

Michael Elad, Alfred M. Bruckstein: A generalized uncertainty principle and sparse representation in pairs of bases. IEEE Transactions on Information Theory 48(9): 2558-2567 (2002)

Michael Elad, Yacov Hel-Or: A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur. IEEE Transactions on Image Processing 10(8): 1187-1193 (2001)

Michael Elad, Alfred M. Bruckstein: On sparse signal representations. ICIP (1) 2001: 3-6

Michael Elad, Yacov Hel-Or, Renato Keshet: Pattern Detection Using a Maximal Rejection Classifier. IWVF 2001: 514-524

Alfred M. Bruckstein, Michael Elad, Ron Kimmel: Down-Scaling for Better Transform Compression. Scale-Space 2001: 123-136

Michael Elad, Arie Feuer: Super-Resolution Reconstruction of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 21(9): 817-834 (1999)

Michael Elad, Arie Feuer: Superresolution restoration of an image sequence: adaptive filtering approach. IEEE Transactions on Image Processing 8(3): 387-395 (1999)

Michael Elad, Patrick C. Teo, Yacov Hel-Or: Optimal Filters for Gradient-based Motion Estimation. ICCV 1999: 559-565

Michael Elad, Arie Feuer: Super-Resolution Reconstruction of Continuous Image Sequences. ICIP (3) 1999: 459-463

Michael Elad, Arie Feuer: Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images. IEEE Transactions on Image Processing 6(12): 1646-1658 (1997)