Publications Journal Papers

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

O. Belhasin, Y. Romano, D. Freedman, E. Rivlin, and M. Elad, Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.

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

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.

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

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.

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

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

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.

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.

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

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.

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.

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.

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

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.

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.

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.

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.

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.

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

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

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

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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

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.

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

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

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.

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.

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.

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

M. Elad and A. Feuer, Restoration of Single Super-Resolution Image From Several Blurred, Noisy and Down-Sampled Measured Images, IEEE Trans. on Image Processing, Vol. 6, No. 12, pp. 1646-58, December 1997.