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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...
4.7
4.7/5
(1,003 reviews)
51,733 students
Created by

9.1

Classbaze Grade®

N/A

Freshness

8.5

Popularity

9.3

Material

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
Platform: Coursera
Video: 15h 49m
Language: English

Best Math and Logic classes:

Classbaze Rating

Classbaze Grade®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.5 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.3 / 10
Video Score: 10.0 / 10
The course includes 15h 49m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 39 minutes of 52 Math and Logic courses on Coursera.
Detail Score: 8.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

8 articles.
0 resource.
0 exercise.
8 tests or quizzes.

In this page

About the course

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.

What can you learn from this course?

What you need to start the course?

The course creator has not defined the requirements for this course.

Who is this course is made for?

The course creator hasn’t defined the level of this course.

Are there coupons or discounts for Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Will I be refunded if I'm not satisfied with the Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Guillermo Sapiro?

Guillermo Sapiro has created 1 courses that got 104 reviews which are generally positive. Guillermo Sapiro has taught 51,733 students and received a 4.82 average review out of 104 reviews. Depending on the information available, we think that Guillermo Sapiro is an instructor that you can trust.
Electrical and Computer Engineering
Duke University
Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology. After post-doctoral research at MIT, he became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California, where he co-developed the image compression techniques used in the original Mars Rovers expedition. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is with Duke University. His awards include the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998 (awarded in the White House by President Clinton), the National Science Foundation Career Award in 1999, the National Security Science and Engineering Faculty Fellowship in 2010, and the Test of Time Award in 2011 for his paper on image segmentation. His algorithms appear in Adobe’s products, leading medical imaging packages such as ITK, and are also roaming on Mars. He has been teaching image processing for over 15 years and delivered numerous invited plenary talks and short courses at leading imaging and applied mathematics conferences. G. Sapiro is the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences, currently ranked as the second highest impact journal in the whole discipline of applied mathematics.

9.1

Classbaze Grade®

N/A

Freshness

8.5

Popularity

9.3

Material

Platform: Coursera
Video: 15h 49m
Language: English

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