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返回到 数字图像和视频处理的基础

学生对 西北大学 提供的 数字图像和视频处理的基础 的评价和反馈

4.6
1,578 个评分

课程概述

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....

热门审阅

VT

Mar 20, 2019

AMAZING COURSE.

TAKES YOU THROUGH EVERY TOPIC IN IMAGE PROCESSING.

THIS COURSE GREATLY HELPED ME WITH UNIVERSITY STUDIES AS WELL,

THANK YOU NORTHWESTERN UNIVERSITY AND PROFESSOR AGGELOS K.

HS

Oct 6, 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 !!!

筛选依据:

276 - 数字图像和视频处理的基础 的 300 个评论(共 319 个)

创建者 K.SOMASEKHAR R

Feb 2, 2021

It's really good for beginners

创建者 Ryan M

Feb 1, 2018

Videos can get long and boring

创建者 Aniket P

Jul 22, 2017

Great Experience of learning.

创建者 Aman M B

Jun 22, 2018

this course is good

创建者 Ankela v t

Jun 16, 2018

its very goodcourse

创建者 Ayush D

Jun 14, 2018

Really Good Course.

创建者 John D

Jun 24, 2018

Extremely thorough

创建者 Miao

Jun 29, 2016

老师的口音让英语听力不好的人比较伤感

创建者 Leonardo M

Dec 13, 2016

Very good course.

创建者 Dr. A K S

Jul 14, 2022

very informative

创建者 Pavan B

Jul 16, 2021

Excellent Course

创建者 Anandhi V

Mar 27, 2021

extremely good

创建者 Anuprita M

Jun 7, 2017

Really Helpful

创建者 Weidong X

Jul 13, 2016

Good course!

创建者 milad p

Aug 19, 2020

it was good

创建者 Yashaswini m

Jun 16, 2018

nice course

创建者 Pradumn K G

Jul 9, 2022

No thanks

创建者 aresan02

Jun 23, 2016

社区互动太少

创建者 DANIEL K A N

Jun 27, 2021

Great

创建者 KARTHIK Y

Jun 17, 2018

good

创建者 NAVNISH G

Jul 22, 2017

Good

创建者 Eliran L

Feb 13, 2021

The course starts off with a good basis for the material (signals, freq. domain etc.), however sometime during week 6, the instructor starts moving swiftly through lots algorithms/methods with complex math, without going into depth, which makes it hard to follow. This is would be fine if it weren't for the exercises, which are very easy, and barely require any deep dive.

So therefore I cannot say that after taking this course, i gained a good familiarity with the methods taught.

创建者 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.

创建者 Angel M H P

Aug 26, 2018

La parte teórica es amplia, sin embargo, siento que hacen falta ejemplos prácticos (desarrollo de algoritmos en Matlab) y una mayor explicación de cómo pasar/plasmar lo visto en las diapositivas a la computadora; a mi parecer es mucha charla en las diapositivas y si hace falta ver algo mas de acción en la computadora.

创建者 Arkadiusz B

Feb 26, 2021

Mr Aggelos made one mistake: he should have explicitly said in the course description: this is a course for mathematicians and not programmers. Most of the course is heavy math. After studying CS for 10 years I have no clue what those equations are supposed to be doing. Matrix this, vector that. Yeah sure.