Detailed information about "Sparse Representations in Image Processing - From Theory to Practice"

Key info
Offered byTechnion Israel Institute of Technology
DescriptionIn this course, you learn how to use sparse representations in series of image processing tasks. You learn about applications such as denoising, deblurring, inpainting, image separation, compression, super-resolution, and more. A key feature in migrating from the theoretical model to its practical deployment is the adaptation of the dictionary to the signal. This topic, known as "dictionary learning" be presented, along with ways to use the trained dictionaries in the above mentioned applications.


  • The importance of models in data processing, and the universality of sparse representation modeling.
  • Dictionary learning algorithms and their role in applications.
  • How to deploy sparse representations to signal and image processing tasks.
  • Sparseland theoretic and algorithmic background.
  • Introduction to image priors and their evolution in image processing.

Accredited byedX - online learning platform

Additional info
Provider typeacademic center
Synchronous / asynchronousasynchronous online course
Type of deliveryblended (practical training and lecture)
Length30 hours
Dates availableanytime
CostFREE (without a certificate of completion) / 149 USD
Has certificateYES
Registration / Access controlYES
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