À propos de ce cours
4.7
367 ratings
•
79 reviews
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....
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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.

Approx. 18 heures pour terminer
Comment Dots

English

Sous-titres : English, Chinese (Simplified)

Compétences que vous acquerrez

Image ProcessingImage CompressionImage SegmentationImage Restoration
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Recommandé : Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.

Approx. 18 heures pour terminer
Comment Dots

English

Sous-titres : English, Chinese (Simplified)

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
2 heures pour terminer

Introduction to image and video processing

Learn what is image and video processing. Learn the very basic concepts of human perception needed for understanding image processing. Learn simple tools in signal processing needed to understand following units. ...
Reading
8 vidéos (Total 94 min), 1 lecture, 1 quiz
Video8 vidéos
0 - Welcome and Start Here min
1 - What is image and video processing (part 1)10 min
1 - What is image and video processing (part 2)10 min
2 - Course logistics2 min
3 - Images are everywhere - Duration 06:316 min
4 - Human visual system - Duration 17:1017 min
5 - Image formation - Sampling & Quantization - Duration 28:1728 min
6 - Simple image operations - Duration 17:0517 min
Reading1 lecture
Optional programming exercises10 min
Quiz1 exercice pour s'entraîner
Quiz #124 min

2

Section
Clock
2 heures pour terminer

Image and video compression

JPEG and MPEG are the most successful algorithms in the area, widely used by everybody in a daily basis, and the goal of this unit is to understand how they work. Also to understand why these techniques are important and why they are enabling technologies. Also will describe what is done in the Mars expedition....
Reading
7 vidéos (Total 114 min), 1 lecture, 1 quiz
Video7 vidéos
1 - The why and how of compression - Duration 14:1614 min
2 - Huffman coding - Duration 20:11 - Optional break at 06:5320 min
3 - JPEG's 8x8 blocks - Duration 05:375 min
4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325 min
5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824 min
6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519 min
7 - Bonus: Run-length compression - Duration 04:294 min
Reading1 lecture
Optional programming exercises10 min
Quiz1 exercice pour s'entraîner
Quiz #220 min

3

Section
Clock
2 heures pour terminer

Spatial processing

Some of the most basic tools in image processing, like median filtering and histogram equalization, are still among the most powerful. We will describe these and provide a modern interpretation of these basic tools. Students will then become familiar with simple and still popular approaches. We will also include non-local means, a more modern technique that still uses classical tools....
Reading
14 vidéos (Total 114 min), 1 lecture, 1 quiz
Video14 vidéos
1 - Introduction to image enhancement - Duration 19:11 - Optional break at 08:3319 min
2 - Demo - Enhancement & Histogram modification - Duration 03:533 min
3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019 min
4 - Histogram matching - Duration 08:318 min
5 - Introduction to local neighborhood operations - Duration 06:466 min
6 - Mathematical properties of averaging - Duration 11:0011 min
7 - Non-Local means - Duration 07:277 min
8 - IPOL Demo - Non-Local means - Duration 03:383 min
9 - Median filter - Duration 07:207 min
10 - Demo - Median filter - Duration 01:311 min
11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314 min
12 - Demo - Unsharp masking - Duration 03:103 min
13 - Gradients of scalar and vector images - Duration 05:575 min
14 - Concluding remarks - Duration 01:121 min
Reading1 lecture
Optional programming exercises10 min
Quiz1 exercice pour s'entraîner
Quiz #320 min

4

Section
Clock
2 heures pour terminer

Image restoration

The goal of this unit is to complement Unit 3 by adding prior information about the sources of degradation. Students will learn that if we know about the degradation process, we can do better. The objective of this unit is to complete the training with basic and powerful classical tools....
Reading
9 vidéos (Total 67 min), 1 lecture, 1 quiz
Video9 vidéos
1 - What is image restoration - Duration 07:497 min
2 - Noise types - Duration 12:4312 min
3 - Demo - Types of noise - Duration 03:033 min
4 - Noise and histograms - Duration 04:524 min
5 - Estimating noise - Duration 10:41 - Optional break at 05:0310 min
6 - Degradation Function - Duration 11:4011 min
7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412 min
8 - Demo - Wiener and Box filters - Duration 03:193 min
9 - Concluding remarks - Duration 00:33 min
Reading1 lecture
Optional programming exercises10 min
Quiz1 exercice pour s'entraîner
Quiz #416 min
4.7
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a commencé une nouvelle carrière après avoir terminé ces cours
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83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
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Meilleurs avis

par AA•Aug 7th 2017

This course was really great in explaining the Image and video processing basics. I do not have an extensive maths background, but was still able to grasp the concepts. Thanks.

par KS•Oct 14th 2017

Wonderful course with a lot of content to learn which helps in developing a better conceptual background for various Image processing applications.

Enseignant

Guillermo Sapiro

Professor
Electrical and Computer Engineering

À propos de Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • Yes

  • Some but not much. If you have you will get a more in depth understanding. We hope you know linear algebra for example. Again, some concepts you will grasp even without strong mathematical background. Some will consider this an advanced undergrad class.

  • Who doesn't?

  • We suggest some optional (not graded) programming exercises. The forums discuss them a lot and this is fun.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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