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Sparse Representations in Image Processing

From Theory to Practice

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.

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Rating 5.0 based on 5 ratings
Length 5 weeks
Effort 5 - 6 hours per week
Starts May 2 (51 weeks ago)
Cost $99
From IsraelX via edX
Instructors Michael Elad, Yaniv Romano, Michael Elad
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Analysis & Statistics Math Engineering

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

linear algebra in 3 reviews

An excellent course for those with knowledge of: Linear Algebra, DSP, and Probability.

You need a good working knowledge of linear algebra to succeed.

Familiarity with linear algebra is essential and general familiarity with image and signal processing is also assumed.

coursera before taking in one review

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.

completely pays off in one review

It was a very challenging course but it completely pays off.

fall right into in one review

All pieces are given and fall right into place fro theory to practice.

into place fro in one review

pieces are given in one review

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Image Specialist 1 $43k

Image Clerk $43k

Image Contributor $53k

Advanced Image Processing Spec $57k

Image Specialist 3 $57k

Image Processing Software Engineer $59k

Image Processing Algorithm Engineer $66k

Image Processing/Computer Vision Specialist TS/SCI $69k

Image Management $71k

SME - Image Signal Processing Pipeline $71k

Advanced Image Processing Specialist $77k

Image-Signal Processing Engineer $80k

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edX

&

IsraelX

Rating 5.0 based on 5 ratings
Length 5 weeks
Effort 5 - 6 hours per week
Starts May 2 (51 weeks ago)
Cost $99
From IsraelX via edX
Instructors Michael Elad, Yaniv Romano, Michael Elad
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Analysis & Statistics Math Engineering

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