Sparse Representations in Image Processing From Theory to Practice

BY
IsraelX , Technion - Israel Institute of Technology via Edx

Lavel

Expert

Mode

Online

Duration

5 Weeks

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 5-6 Hours Per Week

Course and certificate fees

Type of course

Free

certificate availability

Yes

certificate providing authority

IsraelX

certificate fees

₹11,560

The syllabus

Section 0: Background and General Introduction

  • Overview of this Field and this Course

Section 1: Moving to Signal and Image Processing

  • Image Priors and the Sparseland Model
  • Quiz 1
  • Discussion
  • Iterative Shrinkage and Image Deblurring
  • Quiz 2

Section 2: The Quest for a Dictionary

  • The Quest for a Dictionary – The Basics
  • Quiz 3
  • The Quest for a Dictionary – Advanced Topics
  • Quiz 4
  • Mid-Project

Section 3: Image Denoising

  • Image Denoising – The Sparseland Way
  • Quiz 5

Final Project

  • Project 2
  • Bonus Project

Section 4: MAP versus MMSE Estimation

  • Sparseland: An Estimation Point of View
  • Quiz 6

Section 5: Image Separation, Inpainting and Super-Resolution

  • Image Separation and Inpainting
  • Quiz 7
  • Single Image Super-Resolution
  • Quiz 8

Section 6: Course Summary

  • Summary
  • Discussion

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