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Bewertung und Feedback des Lernenden für Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital von Duke University

1,069 Bewertungen

Über den Kurs

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....



23. Aug. 2020

A very much detailed course on image and video processing. I want to thank the instructor, Mr. Guillermo, for a detailed explanation on every topic. The course is quite long but it is worth it. Great!


10. Okt. 2018

I god certified from Duke University through Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Amazing with Coursera platform really Got Experienced from this subject

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176 - 189 von 189 Bewertungen für Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

von Anil K N

2. Okt. 2019

I found the course to be too long. Especially when you have videos of 20 to 25 minutes it is very difficult to maintain that level of concentration throughout. But it is a good course for someone who wants to go deeply into this domain and not doing it aside.

von Nachiket G P

11. Mai 2017

Actually I am bit disappointed with the course staff this time, they didn't reply to my questions which wasn't a situation last time. I think this should not happen. There was a very less responses over all from the staff in the discussion forum.

von tretep n

17. Nov. 2017

Although all contents are interesting , the course can't blend theoretical point and computational point smoothly. Some video lectures could be shorten while preserving main concept .

von Oscar G V

2. März 2017

I'm quite sure you need a quite strong background in maths to be able to really understand this course, it should have more math lessons, or readings about it.

von Soulard

30. Jan. 2021

The lectures are quite good. But there is not applications of what we learn. Not useful in real life

von Ala'a H

28. Sep. 2017

A very good course, but not for those who don't have a good background in signals analysis.

von Aya N

7. März 2019

This course is good but poor of using MATLab program


16. Apr. 2020

Good course

von Vu D

18. Feb. 2019

The videos is too long, there are tons of equations in lectures and hard to understand in the first time

von KJ B

27. Juli 2017

Lecture was so dry, I nearly fell asleep, which is a shame because the topic looked very exciting.

von Andrii M

23. Apr. 2019

This is the worst ever course at Coursera I have experienced so far. The lecturer uses all his magic to spoil such beautiful and important topic, with all the knowledge. The worst week 6 where even PhD in math is confused by unclear notation. The presentation and slides are awful, instead of going faster on simple topic he awkwardly repeats himself making boring stuff even more boring. And this "basically" word... 50 goddamn times per video! Watch your mouth, man! As a summary I wasted 50 bucks and two weeks, and now I hate this course and his author.

von Dizhao J

28. März 2018

the lecturer is not logic, and his interpretation always makes us confuse !

von Amit P

24. Nov. 2019


von 生辉 刘

28. Nov. 2020