Publications Conferences

1.  N. Elata, T. Michaeli and M. Elad, Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling, ECCV, 2024.

2.  G. Ohayon, T. Michaeli, and M. Elad, The Perception-Robustness Tradeoff in Deterministic Image Restoration, ICML, 2024.

3.  L. Ringel, R. Cohen, D. Freedman, M. Elad, and Yaniv Romano, Early Time Classification with Accumulated Accuracy Gap Control, ICLR, 2024.

4.  R. Benita, M. Elad, and J. Keshet, DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation, ICLR, 2024.

5.  N. Elata, B. Kawar, T. Michaeli and M. Elad, Nested Diffusion Processes for Anytime Image Generation, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024.

6.  G. Bar-Shalom, G. Leifman, and Michael Elad, Weakly-Supervised Representation Learning for Video Alignment and Analysis, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024.

7.  R. Ganz and M. Elad, CLIPAG: Towards Generator-Free Text-to-Image Generation, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024.

8.  T. Adrai, G. Ohayon, M. Elad and T. Michaeli, Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration, Advances in Neural Information Processing Systems (NeurIPS) 2023.

9.  O. Belhasin, Y. Romano, D. Freedman, E. Rivlin, and M. Elad, Volume-Oriented Uncertainty for Inverse Problems, NeurIPS workshop on Deep Learning and Inverse Problems, 2023.

10.  S. Man, G. Ohayon, T. Adrai and M. Elad, High-Perceptual Quality JPEG Decoding via Posterior Sampling, Computer Vision and Pattern Recognition (CVPR) Workshops, 2023.

11.  N. Sridhar, M. Elad, C. McNeil, E. Rivlin, and D. Freedman, Diffusion Models for Generative Histopathology, Deep Generative Models: Third MICCAI Workshop, DGM4MICCAI 2023.

12.  G. Leifman, I. Kligvasser, R. Goldenberg, E. Rivlin, and M. Elad, Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time, MICCAI Workshop on Cancer Prevention through Early Detection, 2023.

13.  G. Kutiel, R. Cohen, M. Elad, D. Freedman, and E. Rivlin, Conformal prediction masks: Visualizing uncertainty in medical imaging, ICLR workshop on Trustworthy Machine Learning for Healthcare, 2023.

14.  I. Kligvasser, G. Leifman, R. Goldenberg, E. Rivlin and Michael Elad, Semi-supervised Quality Evaluation of Colonoscopy Procedures, IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023.

15.  N. Torem, R. Ronen, Y.Y. Schechner and M. Elad, Complex-valued Retrievals From Noisy Images Using Diffusion Models, ICCV, 2023.

16.  R. Ganz, B. Kawar and M. Elad, Do Perceptually Aligned Gradients Imply Adversarial Robustness?, ICML 2023.

17.  G. Ohayon, T. Adrai, M. Elad and T. Michaeli, Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality, ICML 2023.

18.  G. Vaksman and M. Elad, Patch-Craft Self-Supervised Training for Correlated Image Denoising, CVPR 2023. software

19.  S. Man, G. Ohayon, T. Adrai and M. Elad, High-Perceptual Quality JPEG Decoding via Posterior Sampling, NTIRE Workshop, CVPP 2023.

20.  B. Kawar, M. Elad, S. Ermon, and J. Song, Denoising Diffusion Restoration Models, Advances in Neural Information Processing Systems (NeurIPS) 2022.

21.  B. Kawar, J. Song, S, Ermon and M. Elad, JPEG Artifact Correction using Denoising Diffusion Restoration Models, Neural Information Processing Systems (NeurIPS) Workshop on Score-Based Methods 2022.

22.  A. Golts and I. Livneh and Y. Zohar and A. Ciechanover and M. Elad, Simultaneous Detection and Classification of Partially and Weakly Supervised Cells, European Conference on Computer Vision (ECCV) Workshops: Tel Aviv, Israel, October 23–27, 2022.

23.  R. Ganz and M. Elad, Improved Image Generation via Sparsity, International Conference on Learning Representations (ICLR) 2022 - Workshop on Deep Generative Models for Highly Structured Data [Poster Presentation].

24.  B. Kawar, M. Elad, S. Ermon, and J. Song, Denoising Diffusion Restoration Models, International Conference on Learning Representations (ICLR) 2022 - Workshop on Deep Generative Models for Highly Structured Data [Oral Presentation].

25.  B. Kawar, G. Vaksman, and M. Elad, SNIPS: Solving Noisy Inverse Problems Stochastically, NeurIPS 2021.

26.  G. Vaksman, M. Elad and P. Milanfar, Patch Craft: Video Denoising by Deep Modeling and Patch Matching, ICCV 2021. software

27.  B. Kawar, G. Vaksman, and M. Elad, Stochastic Image Denoising by Sampling from the Posterior Distribution, ICCV 2021, AIM workshop.

28.  X.Y. Luo, H. Talebi, F. Yang, M. Elad and P. Milanfar, The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study, IEEE Data Compression Conference, August 2021.

29.  G. Ohayon, T. Adrai, G. Vaksman, M. Elad, and P. Milanfar, High Perceptual Quality Image Denoising with a Posterior Sampling CGAN, ICCV 2021, AIM workshop.

30.  G. Vaksman, M. Elad and P. Milanfar, LIDIA: Lightweight Learned Image Denoising with Instance Adaptation, CVPR 2020, New Trends in Image Restoration and Enhancement (NTIRE) Workshop. software

31.  G. Mataev, P. Milanfar, and M. Elad, DeepRED: Deep Image Prior Powered by RED, ICCV 2019, Learning for Computational Imaging (LCI) Workshop. software

32.  D. Simon and M. Elad, Rethinking the CSC Model for Natural Images, NIPS 2019.

33.  S. Romem-Peled, Y. Romano, and M. Elad, SOS Boosting for Image Deblurring Algorithms, EUSIPCO 2019.

34.  E. Zisselman, J. Sulam, and M. Elad, A Local Block Coordinate Descent Algorithm for the CSC Model, CVPR 2019. software

35.  Y. Dar, M. Elad, and A.M. Bruckstein, Compression for Multiple Reconstructions, ICIP 2018, Athens, Greece, October 7-10, 2018.

36.  Y. Dar, M. Elad and A.M. Bruckstein, System-Aware Compression, ISIT 2018, Colorado, USA, June 17-22, 2018.

37.  J. Sulam, V. Papyan, Y. Romano and M. Elad, Projecting onto the Multi-Layer Convolutional Sparse Coding Model, ICASSP 2018, Calgary, Canada, April 15-20, 2018.

38.  Y. Romano, M. Elad, and P. Milanfar, Red-Ucation: A Novel CNN Architecture Based on Denoising Non-Linearities, ICASSP 2018, Calgary, Canada, April 15-20, 2018.

39.  Y. Yankelevsky and M. Elad, Dictionary Learning for High Dimensional Graph Signals, ICASSP 2018, Calgary, Canada, April 15-20, 2018.

40.  V. Papyan, Y. Romano, J. Sulam, and M. Elad, Convolutional Dictionary Learning via Local Processing, ICCV 2017, Venice, Italy, October 22-29, 2017.

41.  A. Adler, D. Boublil, M. Elad and M. Zibulevsky, A Deep Learning Approach to Block-Based Compressed-Sensing of Images, ICASSP, New-Orleans, USA, March 5-9, 2017.

42.  Y. Yankelevsky and M. Elad, Struture-Aware Classification using Supervised Dictionary Learning, ICASSP, New-Orleans, USA, March 5-9, 2017.

43.  Y. Dar, A.M. Bruckstein, and M. Elad, Image Restoration via Successive Compression, Picture Coding Symposium (PCS), Nuremberg, Germany, December 4-7, 2016.

44.  J. Sulam, Y. Romano, and M. Elad, Gaussian Mixture Diffusion, ICSEE - International Conference on the Science of Electrical Engineering - Eilat Israel, November 16-18, 2016.

45.  Y. Yankelevsky and M. Elad, Graph-Constrained Supervised Dictionary Learning for Multi-Label Classification, ICSEE - International Conference on the Science of Electrical Engineering - Eilat Israel, November 16-18, 2016.

46.  Y. Dar, A.M. Bruckstein, M. Elad, and R. Giryes, Reducing Artifacts of Intra-Frame Video Coding via Sequential Denoising, ICSEE - International Conference on the Science of Electrical Engineering - Eilat Israel, November 16-18, 2016.

47.  A. Brifman, Y. Romano, and M. Elad, Turning a Denoiser into a Super-Resolver using Plug-and-Play-Priors, ICIP, Arizona, USA, September 25-28, 2016.

48.  W. Shao and M. Elad, Simple, Accurate, and Robust Nonparametric Blind Super-Resolution, ICIG, Tianjin, China, August 13-16, 2015.

49.  J. Turek, J. Sulam, M. Elad, and I. Yavneh, Simoultaneous Ultrasound Harmonic Imaging Fusion and Clutter removal with Sparse Signal Separation, ICASSP, Brisbane, Australia, April 19-24, 2015.

50.  Y. Romano and M. Elad, Patch-Disagreement and a Way to Improve K-SVD Denoising, ICASSP, Brisbane, Australia, April 19-24, 2015.

51.  E. Plenge, M.A. Cooper, M.R. Prince, Y. Wang, P. Spincemaille, and M. Elad, Reconstruction of Dynamic Under-Sampled MRI Using Self-Similarity Among 1D Temporal Snippets, ISBI, Brooklyn NY, April 16-19, 2015.

52.  J. Sulam and M. Elad, Expected Patch Log Likelihood with a Sparse Prior, Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Hong-Kong, January 13-16, 2015.

53.  R. Giryes and M. Elad, Sparsity Based Poisson Inpainitng, ICIP, Paris, October 27-30, 2014.

54.  J. Sulam, B. Ophir, and M. Elad, Image Denoising Through Multi-Scale Learnt Dictionaries, ICIP, Paris, October 27-30, 2014.

55.  A. Adler, M. Elad, Y. Hel-Or, and E. Rivlin, Sparse-Coding with Anomaly Detection, IEEE Int. Workshop on Machine Learning for Signal PProcessing, Southhampton, UK, September 22-25, 2013.

56.  Y. Romano and M. Elad, Improving K-SVD Denoising by Post-Processing its Method-Noise, ICIP, Melbourne, Australia, September 15-18, 2013.

57.  R. Giryes and M. Elad, OMP with Highly Coherent Dictionaries, SAMPTA, Bremen, Germany, July 1-5, 2013.

58.  R. Giryes and M. Elad, Iterative Hard Thresholding with Near Optimal Projection for Signal Recovery, SAMPTA, Bremen, Germany, July 1-5, 2013.

59.  R. Giryes and M. Elad, Can we Allow Linear Dependencies in the Dictionary in the Sparse Synthesis Framework?, ICASSP, Vancouver, May 26-31, 2013.

60.  I. Ram, M. Elad, and I. Cohen, Image Denoising using NL-Means via Smooth Patch Ordering, ICASSP, Vancouver, May 26-31, 2013. software

61.  R. Giryes and M. Elad, Sparsity Based Poisson Denoising, IEEE 27-th Convention of Electrical and Electronics Engineers in Israel, Eilat, 2012.

62.  R. Giryes and M. Elad, CoSaMP and SP for the Co-Sparse Analysis Model, EUSIPCO, Bucharest, Rumania, August 27-31, 2012

63.  D. Segev, Y.Y. Schechner, and M. Elad, Example-based Cross-Modal Denoising, CVPR, Providence, Rhode-Island, June 16-21, 2012.

64.  R. Rubinstein, T. Peleg, and M. Elad, K-SVD Dictionary Learning for the Analysis Co-Sparse Model, ICASSP, Kyoto, Japan, March 25-30, 2012.

65.  R. Giryes and M. Elad, Denoising with Greedy-Like Pursuit Algorithms, European Signal Processing Conference (EUSIPCO), Barcelona, Spain, August 29, 2011.

66.  B. Ophir, M. Elad, N. Bertin and M.D. Plumbley, Sequential Minimal Eigenvalues - An Approach to Analysis Dictionary Learning, European Signal Processing Conference (EUSIPCO), Barcelona, Spain, August 29, 2011.

67.  J. Shtok, M. Elad, and M. Zibulevsky, Sparsity-Based Sinogram for Low-Dose Computed Tomography, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May, 2011.

68.  T. Faktor, Y.C. Eldar, and M. Elad, Denoising of Image Patches via Sparse Represenattions with Learned Statistical Dependencies, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May, 2011.

69.  A. Adler, V. Emiya, M.G. Jafari, M. Elad, R. Gribonval, and M.D. Plumbley, A Constrained Matching Pursuit Approach to Audio Declipping, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May, 2011.

70.  S. Nam, M.E. Davies, M. Elad, and R. Gribonval, Cosaprse Analysis Modeling - Uniqueness and Algorithms, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May, 2011.

71.  S. Nam, M.E. Davies, M. Elad, and R. Gribonval, Recovery of Cosparse Signals with Greedy Analysis Pursuit in the Presence of Noise, SAMPTA, Singapore, May 2-6, 2011.

72.  A. Adler, Y. Hel-Or, and M. Elad, A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations, The 11th European Conference on Computer Vision (ECCV), Crete-Greece, 5-11 September 2010.

73.  R. Zeyde, M. Elad and M. Protter, On Single Image Scale-Up using Sparse-Representations, Curves & Surfaces, Avignon-France, June 24-30, 2010 (appears also in Lecture-Notes-on-Computer-Science - LNCS). software

74.  A. Adler, Y. Hel-Or, and M. Elad, A Weighted Discriminative Approach for Image Denoising with Overcomplete Representations, 2010 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas Tx. March 14-19, 2010.

75.  Z. Ben-Haim, Y.C. Eldar, and M. Elad, Coherence-Based Near-Oracle Performance Guarantees for Sparse Estimation Under Gaussian Noise, 2010 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas Tx. March 14-19, 2010.

76.  J. Shtok, M. Elad, and M. Zibulevsky, Direct Adaptive Algorithms for CT Reconstruction, 2009 IEEE International Symposium on Biomedical Imaging, ISBI'09, June 27, 2009.

77.  J. Shtok, M. Elad, and M. Zibulevsky, Adapted Filtered-Back-Projection Computed Tomography, The IEEE 25-th Convention of Electrical and Electronics Engineers in Israel, Eilat Israel, December 3-5, 2008.

78.  N. Shoham and M. Elad, Algorithms for Signal Separation Exploiting Sparse Representations, With Application to Texture Image Separation, The IEEE 25-th Convention of Electrical and Electronics Engineers in Israel, Eilat Israel, December 3-5, 2008.

79.  M. Protter, I. Yavneh and M. Elad, Closed-Form MMSE for Denoising Signals Under Sparse-Representation Modelling, The IEEE 25-th Convention of Electrical and Electronics Engineers in Israel, Eilat Israel, December 3-5, 2008.

80.  O. Bryt and M. Elad, Improving the K-SVD Facial Image Compression Using a Linear Deblocking Method, The IEEE 25-th Convention of Electrical and Electronics Engineers in Israel, Eilat Israel, December 3-5, 2008.

81.  I. Yavneh and M. Elad, MMSE Approximation for Denoising Using Several Sparse Representations, the 4th Wold confernece of the IASC (International Association for Statistical Computing), December 5-8, 2008, Yokohama, Japan.

82.  J. Mairal, M. Elad, and F. Sapiro, Sparse Learned Representations for Image Restoration, the 4th Wold confernece of the IASC (International Association for Statistical Computing), December 5-8, 2008, Yokohama, Japan.

83.  R. Giryes, Y.C. Eldar and M. Elad, Automatic Parameter Setting for Iterative Shrinkage Methods, The IEEE 25-th Convention of Electrical and Electronics Engineers in Israel, Eilat Israel, December 3-5, 2008.

84.  A.M. Bruckstein, M. Elad, and M. Zibulevsky, On the Uniqueness of Non-Negative Sparse and Redundant Representations, ICASSP 2008, special session on Compressed Sensing, Las-Vegas, Nevada, March 30, 2008.

85.  A.M. Bruckstein, M. Elad, and M. Zibulevsky, Sparse Non-Negative Solution of a Linear System of Equations is Unique, ISCCSP 2008, special session on Sparse and Redundant Representations, Malta, St. Juliens, March 12-14, 2008.

86.  J. Mairal, G. Sapiro, and M. Elad, Multiscale Sparse Image Representation with Learned Dictionaries, ICIP, San-Antonio Texas, September 16-19, 2007.

87.  M. Elad, B. Matalon, J. Shtok, and M. Zibulevsky, A Wide-Angle View at Iterated Shrinkage Algorithms, SPIE (Wavelet XII) 2007, San-Diego CA, August 26-29, 2007.

88.  M. Protter and M. Elad, Sparse and Redundant Representations and Motion-Estimation-Free Algorithm for Video Denoising, SPIE (Wavelet XII) 2007, San-Diego CA, August 26-29, 2007.

89.  M. Elad, P. Milanfar, and R. Rubinstein, Analysis Versus Synthesis in Signal Priors, EUSIPCO, Florence, Italy, September 4-8, 2006.

90.  M. Elad and M. Aharon, Image Denoising via Learned Dictionaries and Sparse Representation, CVPR, NY, June 17-22, 2006.

91.  M. Elad, B. Matalon, and M. Zibulevsky, Image Denoising with Shrinkage and Redundant Representations, CVPR, NY, June 17-22, 2006.

92.  M. Charest, M. Elad, and P. Milanfar, A General Iterative Regularization Framework for Image Denoising, Proc. of the 40th Conference on Information Sciences and Systems, Princeton, NJ, March 2006.

93.  S. Farsiu, M. Elad, and P. Milanfar, A Practical Approach to Super-Resolution, Proc. of the SPIE: Visual Communications and Image Processing, San-Jose, January 2006.

94.  B. Matalon, M. Elad, and M. Zibulevsky, Image Denoising with the Contourlet Transform, Proceedings of SPARSE05, Rennes, France, November 2005.

95.  M. Aharon, M. Elad, and A.M. Bruckstein, The K-SVD Algorithm, Proceedings of SPARSE05, Rennes, France, November 2005.

96.  M. Elad, Shrinkage For Redundant Representations, Proceedings of SPARSE05, Rennes, France, November 2005.

97.  J.-L. Starck, Y. Moudden, J. Bobin, M. Elad, and D.L. Donoho, Morphological Component Analysis, Proceedings of the SPIE conference wavelets, Vol. 5914, July 2005.

98.  B. Matalon, M. Zibulevsky, and M. Elad, Improved Denoising of Images using Modeling of the Redundant Contourlet Transform, Proceedings of the SPIE conference wavelets, Vol. 5914, July 2005.

99.  M. Aharon, M. Elad, and A.M. Bruckstein, K-SVD and its Non-Negative Variant for Dictionary Design, Proceedings of the SPIE conference wavelets, Vol. 5914, July 2005.

100.  E. Kidron, Y. Schechner, and M. Elad, Pixels that Sound, CVPR, 20-26 June 2005.

101.  S. Farsiu, M. Elad, and P. Milanfar, Constrained, Globally Optimal, Multi-Frame Motion Estimation, Proc. of the 2005 IEEE workshop on statistical signal processing, Bordeaux, France.

102.  M. Elad, Retinex by Two Bilateral Filters, Scale-Space 2005, Hofgeismar, Germany, 7-10 April 2005. To appear in lecture-notes in Computer-Science.

103.  S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, Dynamic Demosaicing and Color Super-Resolution of Video Sequences, Proceedings of the SPIE conference on image reconstruction from incomplete data III, Vol. 5562, October 2004.

104.  S. Farsiu, M. Elad, and P. Milanfar, Multi-Frame Demosaicing and Super-Resolution from Under-Sampled Color Images, IS&T - SPIE Symposium on Electronic Imaging 2004, San Jose, CA., 18-22 January 2004.

105.  A. Segall, M. Elad, P. Milanfar, R. Webb and C. Fogg, Improved High-Definition Video by Encoding at an Intermediate Resolution, Proceedings of the SPIE Conference on Visual Communications and Image Processing, San Jose, CA, Jan. 18-22, 2004.

106.  A. Averbuch, R.R. Coifman, D.L. Donoho, M. Elad, and M. Israeli, Accurate and Fast Polar Fourier Transform, The 37th Asilomar on Signals, Systems and Computers, Pacific Grove, CA. November 2003.

107.  J.-L. Starck, M. Elad, and D. L. Donoho, Image Decomposition: Separation of Texture from Piece-Wise Smooth Content, SPIE annual meeting, 3–8 August 2003, San Diego, California, USA.

108.  S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, Robust Shift and Add Approach to Super-resolution, SPIE Annual meeting, 3-8 August 2003, San Diego, California, USA.

109.  X. Huo, M. Elad, A. G. Flesia, B. Muise, R. Stanfill, J. Friedman, B. Popescu, J. Chen, A. Mahalanobis, D. L. Donoho, Optimal Reduced-Rank Quadratic Classifiers using the Fukunaga-Koontz Transform, with Applications to Automated Target Recognition, SPIE's 7th International Symposium on Aerospace/Defense Sensing, April 2003, Orlando, FL.

110.  J. Tsaig, M. Elad, G. Golub, and P. Milanfar, Optimal Framework for Low Bit-Rate Block Coders, Proceedings of ICIP 2003.

111.  S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, Robust Super-Resolution, Proceedings of ICIP 2003.

112.  M. Elad, P. Milanfar, and G. Golub, Estimation of Shape from Moments - Inverse Problem, The 36th Asilomar on Signals, Systems and Computers, Pacific Grove, CA. November 2002.

113.  M. Elad, Analysis of the Bilateral Filter, The 36th Asilomar on Signals, Systems and Computers, Pacific Grove, CA. November 2002.

114.  R. Kimmel, M. Elad, D. Shaked, R. Keshet, and I. Sobel, A Variational Framework to Retinex, SPIE Electronic Imaging, San-Jose, USA, Vol. 4672, January 2002.

115.  M. Elad and A.M. Bruckstein, On Sparse Representations, International Conference on Image Processing (ICIP) 2001, Tsaloniky, Greece, November 2001.

116.  M. Elad, A. Tal, and S. Ar, Content based Retrieval of VRML Objects - An iterative and Interactive Approach, The 6th Eurographics workshop in Multimedia, Manchester UK, September 2001.

117.  A. Bruckstein, M. Elad, and R. Kimmel, Down Scaling for Better Transform Compression, Scale-Space workshop, ICCV 2001, Vancouver, Canada, July 2001.

118.  M. Elad, Y. Hel-Or and R. Keshet, Pattern Detection Using A Maximal Rejection Classifier, The 4th International Workshop on Visual Form, Capri, Italy, May 28-30, 2001.

119.  M. Elad and A. Feuer, Super-Resolution Reconstruction of Continuous Image Sequences, International Conference on Image Processing - ICIP 1999, Kobe, Japan, October 1999.

120.  M. Elad, P. Teo, and Y. Hel-Or, Optimal Filters For Gradient Based Motion Estimation, International Conference on Computer Vision - ICCV 1999, Corfu, Greece, pp. 559-565, September 1999.

121.  T. Sagi, A. Feuer and M. Elad, The Periodic Step Gradient Descent Algorithm - General Analysis and Application to the Super-Resolution Reconstruction Problem, EUSIPCO 1998.

122.  M. Elad and A. Feuer, Recursive Optical Flow Estimation - Adaptive Filtering approach, The 19-th IEEE Conference in Israel, Jerusalem, November 1996.

123.  M. Elad and A. Feuer, Super-Resolution Reconstruction of an Image, The 19-th IEEE Conference in Israel, Jerusalem, November 1996.

124.  M. Elad and A. Feuer, Super-Resolution Restoration of Continuous Image Sequences Using the LMS Algorithm, The 18-th IEEE Conference in Israel, Tel-Aviv, March 1995.