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Michael Elad

Professor of Computer Science, Technion at Israel Institute of Technology

Areas of expertise

  • - Signal and image processing
  • - Sparse representations
  • - Super-resolution
  • - Inverse problems

Major works

  • Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
  • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
  • Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
  • Stable recovery of sparse overcomplete representations in the presence of noise
  • From sparse solutions of systems of equations to sparse modeling of signals and images

Social links

About Me

Michael Elad received his B.Sc., M.Sc., and D.Sc. degrees from the Department of Electrical Engineering, Technion –Israel Institute of Technology, Israel, in 1986, 1988, and 1997, respectively. Since 2003 he is a Faculty at the Computer-Science Department, Technion. Prof. Elad received numerous teaching awards, and was a recipient of the 2008 and 2015 Henri Taub Prizes for academic excellence, and the 2010 Hershel-Rich prize for innovation. Prof. Elad is a fellow of IEEE. He is serving as the Editor-in-Chief of the SIAM Journal on Imaging Sciences since January 2016.

Courses and Programs taught by Michael Elad

IsraelX, Technion

Sparse Representations in Signal and Image Processing

Professional Certificate
2 courses