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Fondements de l'image numérique et du traitement des vidéos, Université Northwestern

4.6
861 notes
187 avis

À propos de ce cours

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....

Meilleurs avis

par 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 !!!

par SS

Jul 18, 2018

Very informative and comprehensive course in image processing. Many examples are presented throughout the course, which make the content tangible and help to better sink-in the material.

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181 avis

par Shiraz S/O Kaderuppan

Jan 30, 2019

Highly relevant and comprehensive, covering important information in the field. Can be improved however by incorporating code using other language libraries besides MATLAB (e.g. Python, etc).

par Liubov Fedorova

Jan 18, 2019

Спасибо за этот курс. Он очень интересный и заставляет много думать. А это очень хорошо. Главное, что эти знания очень нужны в современной жизни.

par Soh Wee Kian

Jan 17, 2019

By far one of the most challenging courses presented in Coursera. This course should be classified as an Advanced course for people with Engineering Mathematics Background, else it would be tremendously difficult to follow. I truly enjoyed the course presented here, and once the fundamentals are understood, it would be quite easy to understand all the Imaging Processing Technique presented. Now I am confident of using Matlab to try out the Algorithms to do Image and Video Processing!

par Foudil Abdessemed

Jan 14, 2019

Excellent. I would like to thank all the team of coursera and professor

Aggelos K. Katsaggelos for his pedagogical way of presenting the course.

par Choo Liew Kuan, Andy

Dec 26, 2018

Thank you. It had presented a steep learning curve.

par ALEXIOS LYRAKIS

Dec 06, 2018

Too much information that cannot be digested without practical projects. However, it gives a complete overview of principles and methods for image processing.

par Raghavendra Sinha

Nov 30, 2018

amazing experience thank you for all the important techniques that have been imparted to me won't ever forget it.

par wuqimin

Nov 28, 2018

A course not easy for

par rahul kumar

Nov 18, 2018

AMAZING

par Surya K

Nov 17, 2018

useful course