Publications Journal Papers

1.  N. Elata, B. Kawar, T. Michaeli and M. Elad, GSURE-Based Diffusion Model Training with Corrupted Data, Transactions on Machine Learning Research, April 2024.

2.  O. Belhasin, Y. Romano, D. Freedman, E. Rivlin, and M. Elad, Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, No. 5, Pages: 3321-3333, December 2023.

3.  M. Elad, B. Kawar and G. Vaksman, Image Denoising: The Deep Learning Revolution and Beyond - A Survey Paper, SIAM Journal on Imaging Sciences, Volume 16, No. 3, Pages 1594-1654, September 2023.

4.  B. Kawar, R. Ganz and M. Elad, Enhancing diffusion-based image synthesis with robust classifier guidance, Transactions on Machine Learning Research (TMLR), March 2023.

5.  R. Ganz and M. Elad, BIGRoC: Boosting Image Generation via a Robust Classifier, Transactions on Machine Learning Research (TMLR), February 2023.

6.  A. Aberdam, A. Golts and M. Elad, Ada-LISTA: Learned Solvers Adaptive to Varying Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, No. 12, December 2022.

7.  H. Talebi, D. Kelly, X. Luo, I. Garcia Dorado, F. Yang, P. Milanfar and M. Elad, Better Compression with Deep Pre-Editing, IEEE Transactions on Image Processing, Vol. 30, No. 8, Pages 6673-6685, August 2021.

8.  M. Scetbon, M. Elad, and P. Milanfar, Deep K-SVD Denoising, IEEE Transactions on Image Processing, Vol. 30, Pages 5944-5955, June 2021. software

9.  R. Khatib, D. Simon, and M. Elad, Learned Greedy Method (LGM): A novel Neural Architecture for Sparse Coding and Beyond, Journal of Visual Communication and Image Representation, Vol. 77, March 2021.

10.  A. Golts, D. Freedman, and M. Elad, Deep-Energy: Unsupervised Training of Deep Neural Networks, IEEE Transactions on Image Processing, Vol. 15, No. 2, Pages 324-338, February 2021. software

11.  R. Cohen, M. Elad, and P. Milanfar, Regularization by Denoising via Fixed-Point Projection (RED-PRO), SIAM Journal on Imaging Sciences, Vol. 14, Pages 1374-1406, June 2021.

12.  M. Elad, D. Simon, and A. Aberdam, Another Step Toward Demystifying Deep Neural Networks, PNAS Commentary, October 2020.

13.  A. Golts, D. Freedman, and M. Elad, Unsupervised Single Image Dehazing Using Dark Channel Prior Loss, IEEE Transactions on Image Processing, Vol. 29, No. 1, Pages 2692-2701, January 2020. software

14.  I. Rey-Otero, J. Sulam, and M. Elad, Variations on the CSC model, IEEE Transactions on Signal Processing, Vol. 68, No. 1, Pages 519-528, January 2020.

15.  Y. Romano, A. Aberdam, J. Sulam, and M. Elad, Adversarial Noise Attacks of Deep Learning Architectures – Stability Analysis via Sparse Modeled Signals, Journal of Mathematical Imaging and Vision, Pages 1-15, 2019.

16.  D. Simon, J. Sulam, Y. Romano, Y.M. Lu, and M. Elad, MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance, IEEE Transactions on Signal Processing, Vol. 67, No. 17, Pages 4597-4610, September 2019.

17.  T. Hong, Y. Romano, and M. Elad, Acceleration of RED via Vector Extrapolation, Journal of Visual Communication and Image Representation, Vol. 63, August 2019. software

18.  A. Brifman, Y. Romano, and M. Elad, Unified Single-Image and Video Super-Resolution via Denoising Algorithms, IEEE Transactions on Image Processing, Vol. 28, No. 12, Pages 6063-6076, June 2019.

19.  Y. Yankelevsky and M. Elad, Theoretical Guarantees for Graph Sparse Coding, Applied Computational Harmonic Analysis, April 2019.

20.  Y. Yankelevsky and M. Elad, Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals, IEEE Transactions on Signal Processing, Vol. 67, No. 7, Pages 1889-1901, April 2019. software

21.  J. Sulam, A. Aberdam, A. Beck, and M. Elad, On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), March 2019.

22.  A. Aberdam, J. Sulam, and M. Elad, Multi Layer Sparse Coding: the Holistic Way, SIAM Journal on Mathematics of Data Science (SIMODS), Vol. 1, No. 1, Pages 46-77, February 2019. software

23.  Y. Dar, M. Elad, and A.M. Bruckstein, Restoration by Compression, IEEE Transactions on Image Processing, Vol. 66, No. 22, Pages 5833-5847, November 2018.

24.  Y. Dar, M. Elad, and A.M. Bruckstein, Optimized Pre-Compensating Compression, IEEE Transactions on Image Processing, , Vol. 27, No. 10, Pages 4798-4809, October 2018.

25.  J. Sulam, V. Papyan, Y. Romano, and M. Elad, Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning, IEEE Trans. on Signal Processing, Vol. 66, No. 15, Pages 4090-4104, August 2018.

26.  V. Papyan, Y. Romano, J. Sulam, and M. Elad, Theoretical Foundations of Deep Learning via Sparse Representations, IEEE Signal Processing Magazine, Vol. 35, No. 4, Pages 72-89, June 2018.

27.  Y. Ren, Y. Romano, and M. Elad, Example-Based Image Synthesis via Randomized Patch-Matching, IEEE Trans. on Image Processing, Vol. 27, No. 1, Pages 220-235, January 2018.

28.  V. Papyan, J. Sulam, and M. Elad, Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding, IEEE Trans. on Signal Processing, Vol. 65, No. 21, Pages 5687-5701, November 2017.

29.  Y. Romano, M. Elad and P. Milanfar, The Little Engine that Could: Regularization by Denoising (RED), SIAM Journal on Imaging Sciences, Vol. 10, No. 4, Pages 1804-1844, November 2017.

30.  V. Papyan, Y. Romano, and M. Elad, Convolutional Neural Networks Analyzed via Convolutional Sparse Coding, Journal of Machine Learning Research, Vol. 18, Pages 1-52, July 2017.

31.  M. Elad and P. Milanfar, Style-Transfer via Texture-Synthesis, IEEE Trans. on Image Processing, Vol. 26, No. 5, Pages 2338-2351, May 2017.

32.  J. Sulam and M. Elad, Large Inpainting of Face Images with Trainlets, IEEE Signal Processing Letters, Vol. 23, No. 12, Pages 1839-1843, December 2016.

33.  Y. Yankelevsky and M. Elad, Dual Graph Regularized Dictionary Learning, IEEE Trans. on Signal and Information Processing over Networks, Vol. 2, No. 4, Pages 611-624, December 2016. software

34.  G. Vaksman, M. Zibulevsky and M. Elad, Patch-Ordering as a Regularization for Inverse Problems in Image Processing, SIAM Journal on Imaging Sciences, Vol. 9, No. 1, Pages 287-319, 2016.

35.  A. Rond, R. Giryes and M. Elad, Poisson Inverse Problems by the Plug-and-Play scheme, Journal on Visual Communication and Image Representation Vol. 41, Pages 96-108, November 2016.

36.  Y. Romano and M. Elad, Con-Patch: When a Patch Meets its Context, IEEE Trans. on Image Processing, Vol. 25, No. 9, Pages 3967-3978, September 2016.

37.  A. Golts and M. Elad, Linearized Kernel Dictionary Learning, IEEE Journal of Selected Topics in Signal Processing, Vol. 10, No. 4, Pages 726-739, June 2016. software

38.  J. Sulam, B. Ophir, M. Zibulevsky and M. Elad, Trainlets: Dictionary Learning in High Dimensions, IEEE Transactions on Signal Processing, Vol. 64, No. 12, Pages 3180-3193, June 2016. software

39.  V. Papyan and M. Elad, Multi-Scale Patch-Based Image Restoration, IEEE Transactions on Image Processing, Vol. 25, No. 1, Pages 249-261, January 2016. software

40.  Y. Dar, A.M. Bruckstein, M. Elad, and R. Giryes, Postprocessing of Compressed Images via Sequential Denoising, IEEE Trans. on Image Processing, Vol. 25, No. 7, Pages 3044-3058, July 2016.

41.  M.A. Cooper, T.D. Nguyen, B. Xu, M.R. Prince, M. Elad, Y. Wang, and P. Spincemaille, Patch based Reconstruction Of Under-sampled Data (PROUD) for High SNR and High Frame Rate Contrast Enhanced Liver Imaging,, Magnetic Resonance in Medicine, Vol. 74, No. 6, Pages 1587-1597, December 2015.

42.  W. Shao and M. Elad, Bi-l0-l2-Norm Regularization for Blind Motion Deblurring, Journal of Visual Communication and Image Representation, Vol. 33, Pages 42-59, November 2015.

43.  R. Giryes, M. Elad, and A.M. Bruckstein, Sparsity Based Methods for Overparameterized Variational Problems, SIAM Journal on Imaging Sciences, Vol. 8, No. 3, Pages 2133-2159, November 2015.

44.  A. Adler, M. Elad, and Y. Hel-Or, Linear-Time Subspace Clustering Via Bipartite Graph Modeling, IEEE Transactions on Neural Networks and Learning Systems Vol. 26, No. 10, Pages 2234-2246, October 2015.

45.  D. Boublil, M. Elad, J. Shtok, and M. Zibulevsky, Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks, IEEE Transactions on Medical Imaging, Vol. 34, No. 7, Pages 1474-1485, July 2015.

46.  Y. Romano and M. Elad, Boosting of Image Denoising Algorithms, SIAM Journal on Imaging Sciences, Vol. 8, No. 2, Pages 1187-1219, June 2015.

47.  Y. Bahat, Y.Y. Schechner, and M. Elad, Self-Content-Based Audio Inpainting, Journal of Signal Processing, Vol. 111, Pages 61-72, June 2015.

48.  A. Adler, M. Elad, Y. Hel-Or, and E. Rivlin, Sparse coding with Anomaly Detection, Springer Journal on Signal Processing Systems, Vol. 79, No. 2 Pages 179-188, May 2015.

49.  J.S. Turek, M. Elad, and I. Yavneh, Clutter Mitigation in Echocardiography Using Sparse Signal Separation, International Journal of Biomedical Imaging, March 2015.

50.  R. Giryes and M. Elad, Sparsity Based Poisson Denoising with Dictionary Learning, IEEE Transactions on Image Processing, Vol. 23, No. 12, Pages 5057-5069, December 2014.

51.  R. Rubinstein and M. Elad, Dictionary Learning for Analysis-Synthesis Thresholding, IEEE Transactions on Signal Processing, Vol. 62, No. 22, November 2014.

52.  I. Ram, M. Elad, and I. Cohen, Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform, IEEE Signal Processing Letters, Vol. 21 No. 10 Pages 1270-1274, October 2014.

53.  Y. Romano, M. Protter, and M. Elad, Single Image Interpolation via Adaptive Non-Local Sparsity-Based Modeling, IEEE Transactions on Image Processing, Vol. 23 No. 7 Pages 3085-3098, July 2014.

54.  I. Ram, M. Elad, and I. Cohen, Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems, IEEE Transactions on Image Processing, Vol. 23 No. 7 Pages 2779-2792, July 2014.

55.  T. Peleg and M. Elad, A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution, IEEE Transactions on Image Processing, Vol. 23, No. 6, Pages 2569-2582, June 2014. software

56.  J.S. Turek, I. Yavneh, and M. Elad, On MAP and MMSE Estimators for the Co-sparse Analysis Model, Elsevier Digital Signal Processing, Vol. 28, Pages 57-74, May 2014.

57.  M. Uecker, P. Lai, M.J. Murphy, P. Virtue, M. Elad, J.M. Pauly, S.S. Vasanawala, and M. Lustig, ESPIRiT-An Eigenvalue Approach to Autocalibrating Parallel MRI: Where SENSE Meets GRAPPA, Journal of Magnetic Resonance in Medicine, Vol. 71, No. 3, Pages 990-1001, March 2014.

58.  R. Giryes, S. Nam, M. Elad, R.Gribonval, and M.E. Davies, Greedy-Like Algorithms for the Cosparse Analysis Model, Linear Algebra and Applications, Vol. 441, Pages 22-60, January 2014.

59.  P.J. Shin, P.E. Z. Larson, M.A. Ohliger, M. Elad, J.M. Pauly, D.B. Vigneron and M. Lustig, Calibrationless Parallel Imaging Reconstruction Based on Structured Low-Rank Matrix Completion, Journal of Magnetic Resonance Imaging, Vol. 38, No. 11, Pages 1-12, November 2013.

60.  I. Ram, M. Elad and I. Cohen, Image Processing using Smooth Ordering of its Patches, IEEE Trans. on Image Processing, Vol. 22, No. 7 Pages: 2764-2774, July 2013. software

61.  J. Shtok, M. Elad, and M. Zibulevsky, Learned Shrinkage Approach For Low-Dose Reconstruction in Computed Tomography, International Journal of Biomedical Imaging, Vol. 2013, June 2013.

62.  R. Rubinstein, T. Peleg and M. Elad, Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model, IEEE Trans. on Signal Processing, Vol. 61, No. 3, Pages 661-677, March 2013. software

63.  T. Peleg and M. Elad, Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model, IEEE Trans. on Information Theory, Vol. 59, No. 3, Pages 1832-1845, March 2013.

64.  L.N. Smith and M. Elad, Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse, IEEE Signal Processing Letters, Vol. 20, No. 1, Pages 79-82, January 2013. software

65.  A. Adler, M. Elad, and Y. Hel-Or, Probabilistic Subspace Clustering via Sparse Representations, IEEE Signal Processing Letters, Vol. 20, No. 1, Pages 63-66, January 2013.

66.  M. Elad, Sparse and Redundant Representation Modeling — What Next?, IEEE Signal Processing Letters, Vol. 19, No. 12, Pages 922-928, December 2012.

67.  I. Ram, M. Elad, and I. Cohen, Redundant Wavelets on Graphs and High Dimensional Data Clouds, IEEE Signal Processing Letters, Vol. 19, No. 5, Pages 291-294, May 2012.

68.  T. Peleg, Y.C. Eldar, and M. Elad, Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery, IEEE Trans. on Signal Processing, Vol. 60, No. 5, Pages 2286-2303, May 2012. software

69.  A. Adler, V. Emiya, M.G. Jafari, M. Elad, R. Gribonval and M.D. Plumbley, Audio Inpainting, IEEE Trans. on Audio, Speech and Language Processing, Vol. 20, No. 3, Pages. 922-932, March 2012.

70.  R. Giryes and M. Elad, RIP-Based Near-Oracle Performance Guarantees for Subspace-Pursuit, CoSaMP, oland Iterative Hard-Threshding, IEEE Trans. on Signal Processing, Vol. 60, No. 3, Pages 1465 - 1468, March 2012.

71.  S. Nam, M.E. Davies, M. Elad, and R. Gribonval, The Cosparse Analysis Model and Algorithms, Applied and Computational Harmonic Analysis, Vol. 34, No. 1, Pages 30-56, January 2013.

72.  I. Ram, M. Elad, and I. Cohen, Generalized Tree-Based Wavelet Transform, IEEE Transactions on Signal Processing, Vol. 59, No. 9, Pages 4199-4209, September 2011.

73.  B. Ophir, M. Lustig, and M. Elad, Multi-Scale Dictionary Learning using Wavelets, IEEE Selected Topics in Signal Processing, Vol. 5, No. 5, Pages 1014-1024, September 2011.

74.  J.S. Turek, I. Yavneh, and M. Elad, On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary, IEEE Transactions on Signal Processing, Vol. 59, No. 8, Pages 3526-3535, August 2011.

75.  R. Giryes, M. Elad, and Y.C. Eldar, The projected GSURE for automatic parameter tuning in iterative shrinkage methods, Applied and Computational Harmonic Analysis, Vol. 30, No. 3, Pages 407-422, May 2011.

76.  Z. Ben-Haim, Y.C. Eldar, and M. Elad, Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise, IEEE Transactions on Signal Processing, Vol. 58, No. 10, Pages 5030-5043, October 2010.

77.  M. Protter, I. Yavneh, and M. Elad, Closed-Form MMSE Estimation for Signal Denoising Under Sparse Representation Modelling Over a Unitary Dictionary, IEEE Transactions on Signal Processing, Vol. 58, No. 7, Pages 3471-3484, July 2010.

78.  M. Zibulevsky and M. Elad, L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, Vol. 27, No. 3, Pages 76-88, May 2010.

79.  R. Rubinstein, A.M. Bruckstein, and M. Elad, Dictionaries for Sparse Representation Modeling, IEEE Proceedings - Special Issue on Applications of Sparse Representation & Compressive Sensing, Vol. 98, No. 6, Pages 1045-1057, April 2010.

80.  M. Elad, M.A.T. Figueiredo, and Y. Ma, On the Role of Sparse and Redundant Representations in Image Processing, IEEE Proceedings - Special Issue on Applications of Sparse Representation & Compressive Sensing, Vol. 98, No. 6, Pages 972-982, April 2010.

81.  R. Rubinstein, M. Zibulevsky, and M. Elad, Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation, IEEE Transactions on Signal Processing, Vol. 58, No. 3, Pages 1553-1564, March 2010.

82.  J.M. Fadili, J.-L. Starck, M. Elad and D.L. Donoho, Reproducible Research in Signal and Image Decomposition and Inpainting, Computing in Science & Rngineering, Vol. 12 No. 1, Pages 44-62, January 2010.

83.  M. Elad and I. Yavneh, A Plurality of Sparse Representations is Better Than the Sparsest One Alone, IEEE Transactions on Information Theory, Vol. 55, No. 10, Pages 4701-4714, October 2009.

84.  H. Takeda, P. Milanfar, M. Protter, and M. Elad, Super-resolution Without Explicit Subpixel Motion Estimation, IEEE Transactions on Image Processing, Vol. 18, No. 9, Pages 1958-1975, September 2009.

85.  M. Protter and M. Elad, Super-Resolution With Probabilistic Motion Estimation, IEEE Transactions on Image Processing, Vol. 18, No. 8, Pages 1899-1904, August 2009.

86.  A.M. Bruckstein, D.L. Donoho, and M. Elad, From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images, SIAM Review, Vol. 51, No. 1, Pages 34-81, February 2009.

87.  M. Protter, M. Elad, H. Takeda, and P. Milanfar, Generalizing the Non-Local-Means to Super-Resolution Reconstruction, IEEE Transactions on Image Processing, Vol. 18, No. 1, Pages 36-51, January 2009.

88.  M. Protter and Michael Elad, Image Sequence Denoising Via Sparse and Redundant Representations, IEEE Trans. on Image Processing, Vol. 18, No. 1, Pages 27-36, January 2009.

89.  J. Shtok and M. Elad, Analysis of the Basis Pursuit Via the Capacity Sets, Journal of Fourier Analysis and Applications, Vol. 14, No. 5-6, Pages: 688-711, December 2008.

90.  A.M. Bruckstein, M. Elad, and M. Zibulevsky, A Non-Negative and Sparse Enough Solution of an Underdetermined Linear System of Equations is Unique, IEEE Transactions on Information Theory, Vol. 54, No. 11, Pages 4813-4820, November 2008.

91.  M. Aharon and M. Elad, Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary, SIAM Journal on Imaging Sciences, Vol. 1, No. 3, Pages 228-247, July 2008.

92.  O. Bryt and M. Elad, Compression of Facial Images Using the K-SVD Algorithm, Journal of Visual Communication and Image Representation, Vol. 19, No. 4, Pages 270-283, May 2008.

93.  J. Mairal, G. Sapiro, and M. Elad, Learning Multiscale Sparse Representations for Image and Video Restoration, SIAM Multiscale Modeling and Simulation, Vol. 7, No. 1, Pages 214-241, April 2008.

94.  J. Mairal, M. Elad, and G. Sapiro, Sparse Representation for Color Image Restoration, IEEE Trans. on Image Processing, Vol. 17, No. 1, Pages 53-69, January 2008.

95.  M. Elad, Optimized Projections for Compressed-Sensing, IEEE Transactions on Signal Processing, Vol. 55, No. 12, Pages 5695-5702, December 2007. software

96.  C. Staelin, M. Elad, D. Graig, O. Shmueli, and M. Vans, Biblio - Automatic Meta-data Extraction, International Journal on Document Analysis and Recognition, Vol. 10, No. 2, Pages 113-126, November 2007.

97.  M. Elad, B. Matalon, and M. Zibulevsky, Coordinate and Subspace Optimization Methods for Linear Least Squares with Non-Quadratic Regularization, Applied and Computational Harmonic Analysis, Vol. 23, pp. 346-367, November 2007.

98.  D. Datsenko and M. Elad, Example-Based Single Image Super-Resolution: A Global MAP Approach with Outlier Rejection, Journal of Multidimensional System and Signal Processing, Vol. 18, no. 2-3, Pages 103-121, September 2007.

99.  M. Elad, R. Goldenberg, and R. Kimmel, Low Bit-Rate Compression of Facial Images, IEEE Trans. on Image Processing, Vol. 16, no. 9, Pages 2379-2383, September 2007.

100.  D.L. Donoho, M. Elad, and V.N. Temlyakov, On Lebesgue-Type Inequalities for Greedy Approximation, Journal of Approximation Theory, Vol. 147, No. 2, Pages 185-195, August 2007.

101.  M. Elad, P. Milanfar, and R. Rubinstein, Analysis Versus Synthesis in Signal Priors, Inverse Problems. Vol. 23, no. 3, Pages 947-968, June 2007.

102.  M. Elad and D. Datsenko, Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image, The Computer Journal, Vol. 50, no. 4, Pages 1-16, April 2007.

103.  E. Kidron, Y.Y. Schechner, and M. Elad, Cross-Modality Localization via Sparsity, IEEE Trans. On Signal Processing, Vol. 55, no. 4, pp. 1390-1404, April 2007.

104.  M. Elad and M. Aharon, Image Denoising Via Sparse and Redundant representations over Learned Dictionaries, IEEE Trans. on Image Processing, Vol. 15, no. 12, pp. 3736-3745, December 2006.

105.  M. Elad, Why Simple Shrinkage is Still Relevant for Redundant Representations?, IEEE Trans. On Information Theory, Vol. 52, no. 12, pp. 5559-5569, December 2006. software

106.  M. Aharon, M. Elad, and A.M. Bruckstein, The K-SVD: An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation, IEEE Trans. On Signal Processing, Vol. 54, no. 11, pp. 4311-4322, November 2006. software

107.  J. Bobin, Y. Moudden, J.-L. Starck, and M. Elad, Morphological Diversity and Source Separation, the IEEE Signal Processing Letters, Vol. 13, no. 7, pp. 409-412, July 2006.

108.  M. Aharon, M. Elad, and A.M. Bruckstein, On the Uniqueness of Overcomplete Dictionaries, and a Practical Way to Retrieve Them, the Journal of Linear Algebra and Applications, Vol. 416, pp. 48-67, July 2006.

109.  A. Averbuch, R. Coifman, D.L. Donoho, M. Elad, and M. Israeli, Fast and Accurate Polar Fourier Transform, the Journal on Applied and Computational Harmonic Analysis, Vol. 21, pp.145-167, 2006. software

110.  S. Farsiu, M. Elad, and P. Milanfar, Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences, EURASIP Journal on Applied Signal Processing, Vol. 2006, pp. 1-15. software

111.  D.L. Donoho and M. Elad, On the Stability of the Basis Pursuit in the Presence of Noise, EURASIP Signal Processing Journal, Vol. 86, No. 3, pp. 511-532, March 2006. software

112.  M. Elad, Sparse Representations are Most Likely to be the Sparsest Possible, the Journal on Applied Signal Processing, Vol. 2006, pp. 1-12, 2006.

113.  S. Farsiu, M. Elad, and P. Milanfar, Multi-Frame Demosaicing and Super-Resolution of Color Images, IEEE Trans. On Image Processing, Vol. 15, pp. 141-159, January 2006. software

114.  D.L. Donoho, M. Elad, and V. Temlyakov, Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise, the IEEE Trans. On Information Theory, Vol. 52, pp. 6-18, January 2006. software

115.  M. Elad, J-L. Starck, P. Querre, and D.L. Donoho, Simultaneous Cartoon and Texture Image Inpainting Using Morphological Component Analysis (MCA), Journal on Applied and Computational Harmonic Analysis, Vol. 19, pp. 340-358, November 2005.

116.  G. Boutry, M. Elad, G. Golub, and P. Milanfar, The Generalized Eigenvalue Problem for Non-Square Pencils Using A Minimal Perturbation Approach, SIAM Matrix Analysis and Applications (SIMAX), Vol. 27, No. 2, pp. 582-601, November 2005.

117.  M. Elad, P. Teo, and Y. Hel-Or, On The Design of Optimal Filters For Gradient-Based Motion Estimation, the International Journal on Mathematical Imaging and Vision, Vol. 23, No. 3, pp. 245-365, November 2005.

118.  J.L. Starck, M. Elad, and D.L. Donoho, Image decomposition via the combination of sparse representations and a variational approach, the IEEE Trans. On Image Processing, Vol. 14, No. 10, pp. 1570-1582, October 2005.

119.  R. Kimmel, D. Shaked, M. Elad, and I. Sobel, Space Dependent Color Gamut Mapping: A Variational Approach, IEEE Trans. on Image Processing , Vol. 14, No. 6, pp. 796-803, on June 2005.

120.  J. Tsaig, M. Elad, P. Milanfar, and G. Golub, A Near-Optimal Filtering Scheme for Low Bit-Rate Block Coders Using Variable Projection, IEEE Trans. On Circuits & Systems for Video Technology, Vol. 15, No. 1, pp. 154-160, January 2005.

121.  S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, Fast and Robust Multi-Frame Super-resolution, IEEE Trans. On Image Processing, Vol. 13, No. 10, pp. 1327-1344, October 2004. software

122.  S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, Advanced and Challenges in Super-Resolution, the International Journal of Imaging Systems and Technology, Vol. 14, No. 2, pp. 47-57, Special Issue on high-resolution image reconstruction, August 2004. software

123.  M. Elad, P. Milanfar, and Gene Golub, Shape from Moments - An Estimation Theory Perspective, IEEE Trans. on Signal Processing, Vol. 52, No. 7, pp. 1814-1829, July 2004.

124.  J.-L. Starck, M. Elad, and D.L. Donoho, Redundant Multiscale Transforms and their Application for Morphological Component Analysis, the Journal of Advances in Imaging and Electron Physics, Vol. 132, pp. 287-348, 2004.

125.  M. Elad, R. Kimmel, D. Shaked, and R. Keshet, Reduced Complexity Retinex Algorithm Via the Variational Approach, Journal on Visual Communication and Image Representation, Vol.14, No. 4, pp. 369-388, December 2003.

126.  A. Bruckstein, M. Elad, and R. Kimmel, Down Scaling for Better Transform Compression, IEEE Trans. On Image Processing, Vol. 12, No. 9, pp. 1132-1144, September 2003.

127.  R. Kimmel, M. Elad, D. Shaked, R. Keshet, and I. Sobel, A Variational Framework to Retinex, the International Journal on Computer Vision, Vol. 52, No. 1, pp. 7-23, April 2003.

128.  D. L. Donoho and M. Elad, Optimally Sparse Representation in General (nonorthogonal) Dictionaries via L1 Minimization, the Proc. Nat. Aca. Sci., Vol. 100, pp. 2197-2202, March 2003.

129.  M. Elad, Y. Hel-Or, and R. Keshet, Pattern Detection Using a Maximal Rejection Classifier, Pattern Recognition Letters, Vol. 23, No. 12, pp. 1459-1471, October 2002.

130.  M. Elad, On the Bilateral Filter and Ways to Improve It, IEEE Transactions On Image Processing, Vol. 11, No. 10, pp. 1141-1151, October 2002.

131.  M. Elad and A.M. Bruckstein, A Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases, IEEE Trans. On Information Theory, Vol. 48, pp. 2558-2567, September 2002.

132.  M. Elad and Y. Hel-Or, A Fast Super-Resolution Reconstruction Algorithm for Pure Translational Motion and Common Space Invariant Blur, IEEE Trans. on Image Processing, Vol.10, No. 8, pp.1187-93, August 2001.

133.  M. Elad and A. Feuer, Super-Resolution reconstruction of Continuous Image Sequence, IEEE Trans. On Pattern Analysis and Machine Intelligence (PAMI), Vol. 21, No. 9, pp. 817-834, September 1999.

134.  M. Elad and A. Feuer, Super-Resolution Restoration of Continuous Image Sequence - Adaptive Filtering Approach, IEEE Trans. on Image Processing, Vol. 8. No. 3, pp. 387-395, March 1999.

135.  M. Elad and A. Feuer, Recursive optical Flow Estimation - Adaptive Filtering approach, Journal of Visual Comm. and Image Representation, Vol. 9, pp. 119-138, June 1998.

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