Fundamentals of Digital Image and Video Processing

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9/10 stars
based on  4 reviews
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Cost FREE
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Fundamentals of Digital Image and Video Processing

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4567 reviews

Course Description

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.
Reviews 9/10 stars
4 Reviews for Fundamentals of Digital Image and Video Processing

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Steven Frank profile image
Steven Frank profile image
10/10 starsCompleted
  • 59 reviews
  • 57 completed
1 year, 9 months ago
"So without further ado," Prof. Katsaggelos likes to say at the beginning of a lecture, "let us proceed with this exciting material." He's smiling at the end of that sentence -- as if just maybe "exciting" is a little strong. It is without question interesting and well-presented, however. This course is a comprehensive overview of virtually every important topic in digital image processing. The course begins with a whirlwind review of signals and systems in the digital domain, and moves on to cover motion estimation, image enhancement and recovery, image and video compression, segmentation, and the fascinating (maybe even exciting) topic of sparsity, which has applications far beyond image processing. There are 12 weeks of study, each week consisting of about 2 hours of lecture and a quiz, which includes one or more homework problems implemented in Matlab. For those unfamiliar with Matlab, fear not, a book chapter is provided a... "So without further ado," Prof. Katsaggelos likes to say at the beginning of a lecture, "let us proceed with this exciting material." He's smiling at the end of that sentence -- as if just maybe "exciting" is a little strong. It is without question interesting and well-presented, however. This course is a comprehensive overview of virtually every important topic in digital image processing. The course begins with a whirlwind review of signals and systems in the digital domain, and moves on to cover motion estimation, image enhancement and recovery, image and video compression, segmentation, and the fascinating (maybe even exciting) topic of sparsity, which has applications far beyond image processing. There are 12 weeks of study, each week consisting of about 2 hours of lecture and a quiz, which includes one or more homework problems implemented in Matlab. For those unfamiliar with Matlab, fear not, a book chapter is provided and it has everything you need. Prof. Katsaggelos is a fabulous teacher. He speaks clearly and engagingly, the lectures are well-organized, and although this is a matter of personal taste, I think he has a wonderful speaking voice. There is no textbook, but downloads of the lecture slides (which are comprehensive) are provided. A word of warning: although billed as a "fundamentals" course, it presumes familiarity with basic principles of digital signal processing and some fairly advanced linear algebra. If circular convolution, Bayesian probabilities, singular value decomposition and linear inverse problems don't ring a bell, then most of the lecture content will sail gorgeously over your head like poetry in a foreign language. HOWEVER, do not shy away from the course for that reason! The quizzes test you at a pretty high level, and even if the math is unfamiliar, you'll still learn a lot about image processing. Prof. Katsaggelos describes the key concepts nicely and provides many visual examples that make those concepts accessible. I would offer two minor caveats. First, while the Matlab problems were worthwhile, they're entirely analytical; I wish there had been more opportunity to play with some of the many free image-processing tools out there that let you apply filters and adjustments using slide bars and the like. Second, the course is entirely unstaffed. If you have a question, you'll have to find the answer on your own or hope for an assist from a fellow student. I should also mention that the new (as of June 2016) Coursera platform is a big step down from the old one for reasons too numerous to complain about here. All that said, this is a great course -- a thorough treatment of a very interesting set of topics.
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Ilya Krukov profile image
Ilya Krukov profile image
10/10 starsCompleted
  • 6 reviews
  • 6 completed
3 years, 8 months ago
For me it was first course on Video/Image processing. As introductory course it serves quite well. All materials described from scratch in very interesting and attractive manner. I found this course quite easy to follow, and this is, no doubt, result of efforts of professor Katsaggelos and his team. I can recommend this course to any novice in digital Images & Video processing. But professionals will found this course too easy and introductory. Programming assignments described very clear. Some experience in MatLab programming is nice bonus to all course students.
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soesilo wijono profile image
soesilo wijono profile image
10/10 starsCompleted
  • 19 reviews
  • 19 completed
4 years ago
A good course on image processing with quite comprehensive theories. Weekly homework with programming part. Programming question is supposed to be done with Matlab, but I managed to do coding as well in Python with OpenCV. You can also easily convert Matlab code to open source Octave. (Students get free Matlab, the toolboxes and the license for the duration of the course.) There is a step by step guidance to finish the coding, so IMHO everyone can do it easily. Also good videos and the PDF slides.
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Tamer Mohamed profile image
Tamer Mohamed profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 10 months ago
faculty of engineering shoubra, benha university i would like this courses and thank you very very much.
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