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Fundamentals of Digital Image and Video Processing に戻る

ノースウェスタン大学(Northwestern University) による Fundamentals of Digital Image and Video Processing の受講者のレビューおよびフィードバック

4.6
1,519件の評価
315件のレビュー

コースについて

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. Digital images and videos are everywhere these days – in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications. Moreover they come in a wide range of the electromagnetic spectrum - from visible light and infrared to gamma rays and beyond. The ability to process image and video signals is therefore an incredibly important skill to master for engineering/science students, software developers, and practicing scientists. Digital image and video processing continues to enable the multimedia technology revolution we are experiencing today. Some important examples of image and video processing include the removal of degradations images suffer during acquisition (e.g., removing blur from a picture of a fast moving car), and the compression and transmission of images and videos (if you watch videos online, or share photos via a social media website, you use this everyday!), for economical storage and efficient transmission. This course will cover the fundamentals of image and video processing. We will provide a mathematical framework to describe and analyze images and videos as two- and three-dimensional signals in the spatial, spatio-temporal, and frequency domains. In this class not only will you learn the theory behind fundamental processing tasks including image/video enhancement, recovery, and compression - but you will also learn how to perform these key processing tasks in practice using state-of-the-art techniques and tools. We will introduce and use a wide variety of such tools – from optimization toolboxes to statistical techniques. Emphasis on the special role sparsity plays in modern image and video processing will also be given. In all cases, example images and videos pertaining to specific application domains will be utilized....

人気のレビュー

VT
2019年3月20日

AMAZING COURSE.\n\nTAKES YOU THROUGH EVERY TOPIC IN IMAGE PROCESSING.\n\nTHIS COURSE GREATLY HELPED ME WITH UNIVERSITY STUDIES AS WELL,\n\nTHANK YOU NORTHWESTERN UNIVERSITY AND PROFESSOR AGGELOS K.

HS
2018年10月6日

This course is much simpler and easier to understand for those who wanna get and set their goals towards the image engineering field. Really enjoy much doing this course. THank you everyone !!!

フィルター:

Fundamentals of Digital Image and Video Processing: 201 - 225 / 311 レビュー

by WXB506

2017年9月6日

内容比较全面,范围比较广

by GOBHINATH S

2017年6月4日

Nyc Syllabus

by Ayush A

2019年3月23日

Good course

by Bharath S

2016年12月17日

Very useful

by Payne K

2016年9月28日

nice class!

by VANITHA K

2020年5月9日

excellent

by Naitik s

2019年3月19日

great one

by Abhishek J

2018年11月12日

very good

by Sappani G

2018年6月13日

very good

by AMARESH

2017年3月26日

excellent

by jahedul h

2016年9月4日

excellent

by Jean L

2019年4月19日

学有所获,赞!

by rahul k

2018年11月18日

AMAZING

by 上官仲恺

2018年9月3日

perfect

by 17MIS0382 V L

2018年11月3日

super

by bharadwaz

2017年2月10日

happy

by Neha G

2021年5月21日

nice

by pavan k

2021年1月5日

good

by KOIDALA L

2020年11月17日

good

by murapureddy K K R

2019年3月26日

nice

by K K s

2018年6月19日

good

by sai s

2018年6月12日

Good

by Keita Y

2019年10月7日

Broad topics in image and video processing are covered and it was very useful to grasp what kind of techniques are being used in this field. Although most of the subjects were presented in a very comprehensive manner, some contents (maybe advanced ones) still have rooms for improvement.

For the home work assignments, most of the programming problems were too easy (the one in week 12 was challenging, so other weeks could have had problems with equal difficulty.) Also, some problems' statement seemed somewhat ambiguous. If read carefully, the meaning is clear, but since people from all over the globe are taking the course, it might be helpful if they were written in more clear way.

Lastly, maybe because the course was uploaded several years ago, the activity of the forum was very low, which spoiled one of the benefit of using MOOC.

by Akshay B

2017年7月15日

The course content is great. The professor has delivered the material in a simple and straight forward way. There are many results which we can utilize straight away and experiment with. The only drawback was that the quizzes were theoretical,with just one problem dedicated to programming. To get more benefits out of this course certainly we have to do some extra reading Nevertheless it was a great introductory course. Will surely recommend it to others.

by 轩辕行

2020年8月17日

I think week 3 is the most important topic in image/video signal processing and the maths is really important here. I would say that despite image recovery is taught in 2 weeks, the focus is bit lost and touched too many topics without going deeper for a specific one.

I probably would suggest to have Laplacian pyramid and similar stuff just after frequency analysis, it will help student to understand better in later applications.