World's Best Scientists 2026 revealed!
Amir Averbuch

Amir Averbuch

D-Index & Metrics

Computer Science

D-Index
52
Citations
9648
World Ranking
5130
National Ranking
80

Overview

Amir Averbuch is affiliated with Tel Aviv University in Israel. Their research spans the fields of Computer Science and Engineering, with a focus on several subfields and core topics.

The main fields of study for Averbuch include:

  • Computer Science
  • Engineering

Their work is concentrated in the following subfields of study:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Computational Mechanics
  • Signal Processing

Key research topics addressed in their publications include:

  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Face and Expression Recognition
  • Anomaly Detection Techniques and Applications
  • Advanced Numerical Analysis Techniques
  • Advanced Image Processing Techniques
  • Industrial Vision Systems and Defect Detection

Averbuch has contributed to various peer-reviewed venues, with multiple publications. Frequent publication venues include:

  • arXiv (Cornell University)
  • Applied and Computational Harmonic Analysis
  • Data Mining and Knowledge Discovery
  • New Astronomy
  • Multidimensional Systems and Signal Processing

Frequent collaborators in research publications include:

  • Moshe Salhov
  • Valery A. Zheludev
  • Ofir Lindenbaum
  • Jonathan Hauser
  • Pekka Neittaanmäki

The scientist's recent papers comprise the following works:

  • "Gaussian bandwidth selection for manifold learning and classification," 2020, Data Mining and Knowledge Discovery
  • "Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods," 2021, New Astronomy
  • "An hybrid denoising algorithm based on directional wavelet packets," 2022, Multidimensional Systems and Signal Processing
  • "Analytic and directional wavelet packets in the space of periodic signals," 2023, Applied and Computational Harmonic Analysis
  • "Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets," 2022, arXiv (Cornell University)

Best Publications

  • Interacting multiple model methods in target tracking: a survey

    E. Mazor;A. Averbuch;Y. Bar-Shalom;J. Dayan

  • Automatic segmentation of moving objects in video sequences: a region labeling approach

    Y. Tsaig;A. Averbuch

  • Image compression using wavelet transform and multiresolution decomposition

    A. Averbuch;D. Lazar;M. Israeli

  • Color image segmentation based on adaptive local thresholds

    Ety Navon;Ofer Miller;Amir Averbuch

  • Fast and accurate Polar Fourier transform

    A. Averbuch;R.R. Coifman;D.L. Donoho;M. Elad

  • Fast adaptive wavelet packet image compression

    F.G. Meyer;A.Z. Averbuch;J.-O. Stromberg

  • Automatic object extraction

    Amir Averbuch;Ofer Miller

  • Pseudopolar-based estimation of large translations, rotations, and scalings in images

    Y. Keller;A. Averbuch;M. Israeli

  • Experiments with the Tangora 20,000 word speech recognizer

    A. Averbuch;L. Bahl;R. Bakis;P. Brown

  • Fast gradient methods based on global motion estimation for video compression

    Y. Keller;A. Averbuch

  • A Framework for Discrete Integral Transformations I—The Pseudopolar Fourier Transform

    A. Averbuch;R. R. Coifman;D. L. Donoho;M. Israeli

  • Radar target tracking-Viterbi versus IMM

    A. Averbuch;S. Itzikowitz;T. Kapon

  • Multisensor image registration via implicit similarity

    Y. Keller;A. Averbuch

  • Digital image thresholding, based on topological stable-state

    Arie Pikaz;Amir Averbuch

  • Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels

    A.Z. Averbuch;A. Schclar;D.L. Donoho

  • Multilayered image representation: application to image compression

    F.G. Meyer;A.Z. Averbuch;R.R. Coifman

  • 3D Fourier based discrete Radon transform

    Amir Averbuch;Yoel Shkolnisky

  • Fast processing of an XML data stream

    Amir Averbuch;Shachar Harussi

  • Multiscale data sampling and function extension

    Amit Bermanis;Amir Averbuch;Ronald R. Coifman

  • FFT based image registration

    A. Averbuch;Y. Keller

  • Pseudo-Polar Based Estimation of Large Translations Rotations and Scalings in Images

    Yosi Keller;Amir Averbuch;Moshe Israeli

  • Image Compression Using Wavelet Transform

    Amir Averbuch;Danny Lazar;Moshe Israeli

Frequent Co-Authors

Pekka Neittaanmäki
Pekka Neittaanmäki University of Jyväskylä
Ronald R. Coifman
Ronald R. Coifman Yale University
David L. Donoho
David L. Donoho Stanford University
Anthony J. Weiss
Anthony J. Weiss Tel Aviv University
Tapani Ristaniemi
Tapani Ristaniemi University of Jyväskylä
Zvi Galil
Zvi Galil Georgia Institute of Technology
Lalit R. Bahl
Lalit R. Bahl Renaissance Technologies
Frederick Jelinek
Frederick Jelinek Johns Hopkins University
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of educational and career options. Many students start by evaluating the best college degrees to pursue, ensuring long-term job prospects and earning potential. Computer Science frequently ranks high due to its relevance, versatility, and growth in the tech-driven job market.

For those interested in advancing quickly, considering one of the easiest master degree to get can be a strategic move. Such programs often include flexible coursework and accelerated tracks, helping students balance studies with other commitments.

Aspiring researchers and educators may seek the cheap phd programs online to further their expertise cost-effectively. Additionally, those looking for fast professional advancement into leadership or education roles might explore the easiest edd programs that offer flexible, expedited learning options.

Whether you choose a traditional or fast-track pathway, today’s online education landscape provides flexibility and affordability for future Computer Science professionals.

Best Scientists Citing Amir Averbuch

Trending Scientists

Recently Published Articles