World's Best Scientists 2026 revealed!
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Computer Science
Israel
2026

D-Index & Metrics

Computer Science

D-Index
102
Citations
85751
World Ranking
327
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Israel Leader Award
  • 2025 - Research.com Computer Science in Israel Leader Award
  • 2023 - Research.com Computer Science in Israel Leader Award
  • 2022 - Research.com Computer Science in Israel Leader Award
  • 2018 - SIAM Fellow For contributions to the theory and development of sparse representations and their applications to signal and image processing.
  • 2012 - IEEE Fellow For contributions to sparsity and redundancy +in image processing

Overview

Michael Elad is affiliated with the Technion - Israel Institute of Technology in Israel. Their research focuses primarily on computer science and engineering, with specialized work in areas such as computer vision and pattern recognition, artificial intelligence, and computational mechanics.

The major topics of their research include:

  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Sparse and Compressive Sensing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Cell Image Analysis Techniques
  • Advanced Image and Video Retrieval Techniques
  • Photoacoustic and Ultrasonic Imaging

Michael Elad has published extensively in various venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • SIAM Journal on Imaging Sciences
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Gastrointestinal Endoscopy

Some recent papers authored or co-authored by Michael Elad are:

  • "Denoising Diffusion Restoration Models," 2022, arXiv (Cornell University)
  • "Image Denoising: The Deep Learning Revolution and Beyond-A Survey Paper," 2023, SIAM Journal on Imaging Sciences
  • "Patch Craft: Video Denoising by Deep Modeling and Patch Matching," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Better Compression With Deep Pre-Editing," 2021, IEEE Transactions on Image Processing
  • "Technical Design Report for the LUXE experiment," 2024, The European Physical Journal Special Topics

Frequent co-authors include:

  • Ehud Rivlin
  • Tomer Michaeli
  • Bahjat Kawar
  • Roy Ganz
  • Chris Manzie

Michael Elad has contributed to book publications through the publisher Springer Science+Business Media, with titles such as "Image and Graphics" published in 2021.

Recognition for their work includes being named a SIAM Fellow in 2018 for contributions to the theory and development of sparse representations and their applications to signal and image processing. Additionally, they were awarded IEEE Fellow status in 2012 for contributions to sparsity and redundancy in image processing.

Best Publications

  • $rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

    M. Aharon;M. Elad;A. Bruckstein

  • Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

    M. Elad;M. Aharon

  • Optimally sparse representation in general (nonorthogonal) dictionaries via 1 minimization

    David L. Donoho;Michael Elad

  • Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

    Michael Elad

  • On single image scale-up using sparse-representations

    Roman Zeyde;Michael Elad;Matan Protter

  • Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing

    Unknown

  • Fast and robust multiframe super resolution

    S. Farsiu;M.D. Robinson;M. Elad;P. Milanfar

  • Stable recovery of sparse overcomplete representations in the presence of noise

    D.L. Donoho;M. Elad;V.N. Temlyakov

  • From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

    Alfred M. Bruckstein;David L. Donoho;Michael Elad

  • Sparse Representation for Color Image Restoration

    J. Mairal;M. Elad;G. Sapiro

  • Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images

    M. Elad;A. Feuer

  • Dictionaries for Sparse Representation Modeling

    Ron Rubinstein;Alfred M Bruckstein;Michael Elad

  • ESPIRiT--an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

    Martin Uecker;Peng Lai;Mark J. Murphy;Patrick Virtue

  • Image decomposition via the combination of sparse representations and a variational approach

    J.-L. Starck;M. Elad;D.L. Donoho

  • A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur

    M. Elad;Y. Hel-Or

  • Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)

    M. Elad;J.-L. Starck;P. Querre;D.L. Donoho

  • On the origin of the bilateral filter and ways to improve it

    M. Elad

  • Optimized Projections for Compressed Sensing

    M. Elad

  • A Variational Framework for Retinex

    Ron Kimmel;Michael Elad;Doron Shaked;Renato Keshet

  • Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit

    Ron Rubinstein;Michael Zibulevsky;Michael Elad

  • Advances and Challenges in Super-Resolution

    Sina Farsiu;M. Dirk Robinson;Michael Elad;Peyman Milanfar

Frequent Co-Authors

Peyman Milanfar
Peyman Milanfar Google (United States)
Michael Zibulevsky
Michael Zibulevsky Technion – Israel Institute of Technology
Alfred M. Bruckstein
Alfred M. Bruckstein Technion – Israel Institute of Technology
Raja Giryes
Raja Giryes Tel Aviv University
David L. Donoho
David L. Donoho Stanford University
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Sina Farsiu
Sina Farsiu Duke University
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

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