Sparse Representations in Image Processing - From Theory to Practice, Certificate

Sparse Representations in Image Processing - From Theory to Practice, Certificate

  • Application Deadline
  • 35 days
    Duration
Online
EdX is an online learning platform trusted by over 12 million users offering the Sparse Representations in Image Processing - From Theory to Practice Certificate in collaboration with IsraelX. Learn about the deployment of the sparse representation model to signal and image processing.

About

The Sparse Representations in Image Processing - From Theory to Practice Certificate is part of the Sparse Representations in Signal and Image Processing Professional Certificate from EdX in partnership with IsraelX.

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.

What you'll learn

  • 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.

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 35 days
    • Intensity 5 hrs/week
    • Duration description

      Length: 5 weeks Effort: 5-6 hours per week

  • Languages
    • English
  • Delivery mode
    Online

Programme Structure

This program is composed from two separate parts:

  • Part 1: Sparse Representations in Signal and Image Processing: Fundamentals.
  • Part 2: Sparse Representations in Image Processing: From Theory to Practice.
  • While we recommend taking both courses, each of them can be taken independently of the other. The duration of each course is five weeks, and each part includes: (i) knowledge-check questions and discussions, (ii) series of quizzes, and (iii) Matlab programming projects. Each course will be graded separately, using the average grades of the questions/discussions [K] quizzes [Q], and projects [P], by Final-Grade = 0.1K + 0.5Q + 0.4P.

    Lecturers

    • Michael Elad - Professor of Computer Science, Technion, Israel Institute of Technology

    • Yaniv Romano - PhD student in the Electrical Engineering Department, Technion, Israel Institute of Technology

    English Language Requirements

    This programme requires students to demonstrate proficiency in English.

    Academic Requirements

    Prerequisites

    Advanced knowledge on linear algebra and optimization; basic familiarity with signal and image processing.

    Tuition Fee

    • International Applies to you

      99 USD/full
      Tuition Fee
      Based on the original amount of 99 USD for the full programme and a duration of 35 days.
    • National Applies to you

      99 USD/full
      Tuition Fee
      Based on the original amount of 99 USD for the full programme and a duration of 35 days.
    We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
    • 5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

    Funding

    StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

    The Global Study Awards: get funded with up to £10,000 to study abroad

    Together with the ISIC Association and British Council IELTS, StudyPortals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.