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Вернуться к Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Отзывы учащихся о курсе Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital от партнера Университет Дьюка

4.7
звезд
Оценки: 807
Рецензии: 162

О курсе

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....

Лучшие рецензии

AS

Oct 11, 2018

I god certified from Duke University through Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital\n\nAmazing with Coursera platform really Got Experienced from this subject

RK

Mar 26, 2020

This is an excellent course for understanding a lot of details on Image Processing. After this course, the more you apply the techniques learned, the more you make progress in the research field.

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126–150 из 154 отзывов о курсе Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

автор: 李中源

Jul 02, 2017

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

автор: Ritajit K R

Apr 06, 2019

Interesting course. Got to know applications as well. Best as a compliment to problem-based theoretical course.

автор: Jayadev

Mar 03, 2018

very good information, i whish the lectures were a little bit more structured from the part of the instructor

автор: Dr. A J

Apr 16, 2020

The writing on the ppt could have been more legible. Overall a good course. Excellent quiz questions.

автор: eeyiyi31

Sep 25, 2019

week 6 is hard to understand, need to watch many times, hope it can be explained better in future.

автор: Deleted A

Jan 21, 2017

this course is awesome and useful for someone who are intermediate and beginner in imp!! :)

автор: VSR S

May 25, 2020

wow, with great difficulty i completed Thank you so much

автор: Shashank N S

Jul 11, 2019

Overall the course is designed perfectly for beginners.

автор: Mohit M K

Oct 16, 2018

Really good and informative course with easy quizzes!

автор: Zainib B

May 03, 2017

its really a good experience with an ease of learning

автор: Mukul M

May 04, 2020

A good course with a variety of relatable examples.

автор: Justin T

Sep 10, 2019

This is just what I need as an image

автор: Vaibhav M

Aug 17, 2019

I need solutions of assignments also

автор: Jackkii

Mar 30, 2020

讲的太好了,特别喜欢。

要是作业有解析,或者编程题可以有参考就更好了

автор: Satyaki D

Oct 15, 2019

was worth the time

автор: Ankit D

May 12, 2020

Intuitative

автор: Rahul b

Feb 24, 2017

Although the course material is very good but what I believe is that Image processing is a course where only theory isn't sufficient. Programming assignments should have been made important and compulsory part of the course instead of just MCQ quizzes.

This is the reason why Andrew Ng's Machine learning on coursera appears very engaging. 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.

автор: Anil K N

Oct 02, 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.

автор: Nachiket G P

May 11, 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.

автор: tretep n

Nov 17, 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 .

автор: OSCAR J C G V

Mar 02, 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.

автор: Ala'a H

Sep 28, 2017

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

автор: Aya N R M

Mar 07, 2019

This course is good but poor of using MATLab program

автор: VIGNESHKUMAR R

Apr 16, 2020

Good course

автор: Trí V Đ

Feb 19, 2019

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