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Northwestern University - Fundamentals of Digital Image and Video Processing 

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Fundamentals of Digital Image and Video Processing
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Overview

Explore the unique characteristics and challenges of processing digital videos, including motion estimation, temporal filtering, video stabilization, and object tracking, to analyze and enhance video content effectively

Duration

35 hours

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Mode of learning

Online

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Credential

Certificate

Fundamentals of Digital Image and Video Processing
 at 
Coursera 
Highlights

  • Earn a certificate from Northwestern University
  • Learn from industry experts
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Fundamentals of Digital Image and Video Processing
 at 
Coursera 
Course details

Who should do this course?
  • Undergraduate and graduate students studying engineering disciplines such as electrical engineering, computer engineering, and computer science, who are interested in gaining a foundational understanding of digital image and video processing principles and techniques
  • Professionals working in research institutions or academia who are involved in research or teaching related to digital image processing, computer vision, multimedia systems, or related fields, seeking to deepen their knowledge and expertise in the fundamentals of image and video processing
What are the course deliverables?
  • Image Processing
  • Data Compression
  • Matlab
More about this course
  • In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests
  • Digital images and videos are everywhere these days – in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications
  • Moreover they come in a wide range of the electromagnetic spectrum - from visible light and infrared to gamma rays and beyond
  • The ability to process image and video signals is therefore an incredibly important skill to master for engineering/science students, software developers, and practicing scientists
  • Digital image and video processing continues to enable the multimedia technology revolution we are experiencing today
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Fundamentals of Digital Image and Video Processing
 at 
Coursera 
Curriculum

Introduction to Image and Video Processing

Signals and Systems

Fourier Transform and Sampling

Motion Estimation

Image Enhancement

Image Recovery: Part 1

Image Recovery : Part 2

Lossless Compression

Image Compression

Video Compression

Image and Video Segmentation

Sparsity

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Fundamentals of Digital Image and Video Processing
 at 
Coursera 
Faculty details

Aggelos K. Katsaggelos
Professor Aggelos Katsaggelos joined the faculty at Northwestern University in 1985, where he is now the Joseph Cummings Professor in the Department of Electrical Engineering and Computer Science. He is also the Director of the Motorola Center for Seamless Communications, a member of the Academic Affiliate Staff, NorthShore University Health System, an affiliated faculty at the Department of Linguistics at NU, and he has an appointment at the Argonne National Laboratory. He received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Thessaloniki, Greece, in 1979, and the M.S. and Ph.D. degrees in electrical engineering from the Georgia Institute of Technology, Atlanta, in 1981 and 1985, respectively. His current research interests include multimedia signal processing (e.g., image and video recovery and compression, audio-visual speech and speaker recognition, indexing and retrieval), multimedia communications, computer vision, pattern recognition, and machine learning. He has published extensively (5 books, 210 journal papers, 500 conference papers, 45 book chapters, 25 patents). So far 70 M.S. and 46 Ph.D. students have graduated under his supervision. He is a Fellow of IEEE and SPIE and his awards include the IEEE Third Millennium Medal, the IEEE Signal Processing Society Meritorious Service Award, the IEEE Signal Processing Society Technical Achievement Award, and a number of paper awards. He was the Editor-in-Chie
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Fundamentals of Digital Image and Video Processing
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Fundamentals of Digital Image and Video Processing
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