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Image and Video Processing

From Mars to Hollywood with a Stop at the Hospital

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space. The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. You will learn the basic algorithms used for adjusting images, explore JPEG and MPEG standards for encoding and compressing video images, and go on to learn about image segmentation, noise removal and filtering. Finally, we will end with image processing techniques used in medicine. This course consists of 7 basic modules and 2 bonus (non-graded) modules. There are optional MATLAB exercises; learners will have access to MATLAB Online for the course duration. Each module is independent, so you can follow your interests.

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Duke University

Rating 4.3 based on 78 ratings
Length 10 weeks
Effort Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.
Starts Mar 4 (next week)
Cost $49
From Duke University via Coursera
Instructor Guillermo Sapiro
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Software Development Math And Logic

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What people are saying

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

image processing in 16 reviews

Good overview of some of the techniques in digital image processing.

I used outside sources (other digital image processing courses on youtube and blogs) to get a better understanding of how to implement these algorithms from scratch.

A+ Awesome class provide a lot of interesting tool for image processing Includes wide range of theories that can be applied to Image Processing.

This course give the best mathematical intuition behind the image processing algorithms.

Anyone who wants to develop and gain in depth understanding image processing algorithms then who take this course but one thing is remember that you have intermediate level in calculus and linear algebra and some probability theory other wise you not understand three lectures.

very good intro to image processing concepts Although all contents are interesting , the course can't blend theoretical point and computational point smoothly.

One of the best Image processing course available online.

good image processing course.

for beginners in 4 reviews

very suitable for beginners。The handwriting formula should be more clear, sometimes they were a little confusing Great introductory course!

This is simply an incredible course to take for beginners.

Half of it is about very basic image processing, in fact I found it a bit too basic for my goals, but may be good for beginners.

There is a distinction between the weeks 1-4 / 5-9 because the first block is very good for beginners or for those, like me, who work in the field but not in such a deepen way.

video processing in 3 reviews

There are very few courses related to image processing and this is the best one covering wide variety of concepts Prof. Guillermo Sapiro is excellent in teaching difficult concepts of image and video processing with so much ease.

loved it This course was really great in explaining the Image and video processing basics.

a very experienced friend in the area of image and video processing!

programming assignments in 2 reviews

Second there is no programming assignments, so its a little easy kind of.

Programming assignments should have been made important and compulsory part of the course instead of just MCQ quizzes.

Whatever they teach in theory has to be implemented as part of programming assignments which makes learning experience wonderful.I hope that you will give due importance to programming assignments from next session.

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Coursera

&

Duke University

Rating 4.3 based on 78 ratings
Length 10 weeks
Effort Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.
Starts Mar 4 (next week)
Cost $49
From Duke University via Coursera
Instructor Guillermo Sapiro
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Software Development Math And Logic