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Sparse Representations in Image Processing: From Theory to Practice

Technion - Israel Institute of Technology via edX

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  • Provider edX
  • $ Cost Free Online Course
  • Session In progress
  • Language English
  • Certificate $99 Certificate Available
  • Effort 5-6 hours a week
  • Start Date
  • Duration 5 weeks long

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This course is a follow-up to the first introductory course of sparse representations. Whereas the first course puts emphasis on the theory and algorithms in this field, this course shows how these apply to actual signal and image processing needs.

Models play a central role in practically every task in signal and image processing. Sparse representation theory puts forward an emerging, highly effective, and universal such model. Its core idea is the description of the data as a linear combination of few building blocks – atoms – taken from a pre-defined dictionary of such fundamental elements.

In this course, you will learn how to use sparse representations in series of image processing tasks. We will cover 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" will be presented, along with ways to use the trained dictionaries in the above mentioned applications.

Taught by

Michael Elad and Yaniv Romano

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Reviews for edX's Sparse Representations in Image Processing: From Theory to Practice
5.0 Based on 2 reviews

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Anonymous
5.0 yesterday
Anonymous completed this course.
Excellent but advanced course. It follows Michael Elad's textbook "Sparse and Redundant Representations" closely. You need a good working knowledge of linear algebra to succeed. I recommend Guillermo Shapiro's MOOC "Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital" on Coursera before taking this one.
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Anonymous
5.0 yesterday
Anonymous completed this course.
It was a very challenging course but it completely pays off. All pieces are given and fall right into place fro theory to practice. I recommend to take the two courses!
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