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返回到 数字图像和视频处理的基础

學生對 西北大学 提供的 数字图像和视频处理的基础 的評價和反饋

4.6
1,344 個評分
272 條評論

課程概述

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....

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VT

Mar 21, 2019

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

Oct 07, 2018

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 !!!

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226 - 数字图像和视频处理的基础 的 250 個評論(共 268 個)

創建者 Joffre L V

Dec 08, 2016

Good course, I only recommend to incorporate mini projects per week, ...

Thankyou

創建者 NITIN K

Jun 08, 2016

It covers all the fundamental knowledge of digital image and video processing

創建者 Daniel C

Jun 05, 2019

Assignments were a little too easy. Solid analysis and content though.

創建者 Gautam S

Jan 20, 2018

It is a great course for the beginners in image and video processing.

創建者 Madhav R

Apr 20, 2020

please give more examples, especially for the linear algebra part

創建者 JAY R P

Nov 06, 2019

Gives in depth knowledge about images and explained very well!

創建者 surya k t

Sep 24, 2017

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創建者 Choo L K A

Dec 26, 2018

Thank you. It had presented a steep learning curve.

創建者 Felipe G J

Sep 17, 2017

Really useful to get some basic notions.

創建者 Nikhil V

May 18, 2019

Great fundamentals, enjoyed very much.

創建者 Ryan M

Feb 01, 2018

Videos can get long and boring

創建者 Aniket P

Jul 22, 2017

Great Experience of learning.

創建者 Aman M B

Jun 22, 2018

this course is good

創建者 Ankela v t

Jun 16, 2018

its very goodcourse

創建者 Ayush D

Jun 14, 2018

Really Good Course.

創建者 John D

Jun 24, 2018

Extremely thorough

創建者 Miao

Jun 29, 2016

老师的口音让英语听力不好的人比较伤感

創建者 Leonardo M

Dec 13, 2016

Very good course.

創建者 Anuprita M

Jun 07, 2017

Really Helpful

創建者 Weidong X

Jul 14, 2016

Good course!

創建者 Yashaswini m

Jun 16, 2018

nice course

創建者 aresan02

Jun 23, 2016

社区互动太少

創建者 KARTHIK Y

Jun 17, 2018

good

創建者 NAVNISH G

Jul 22, 2017

Good

創建者 Shahriyar M

Aug 21, 2019

The content of the course mainly focuses on the theoretical side of image processing rather than practical. Even though practical quizzes were easy and not challenging, other grading tasks required too much memorization. On the other hand, the instructor explains the topics very well and makes it easy to understand complicated points.