À propos de ce cours

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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.

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 17 heures pour terminer

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

Anglais

Sous-titres : Anglais, Chinois (simplifié)

Compétences que vous acquerrez

Image ProcessingImage CompressionImage RestorationImage Segmentation

Les étudiants prenant part à ce Course sont

Machine Learning Engineers
Data Scientists
Researchers

Scientists
Research Assistants

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 17 heures pour terminer

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

Anglais

Sous-titres : Anglais, Chinois (simplifié)

Programme du cours : ce que vous apprendrez dans ce cours

Semaine

1

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.

8 vidéos (Total 94 min), 1 lecture, 1 quiz

8 vidéos

0 - Welcome and Start Here33s

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

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #124 min

Semaine

2

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.

7 vidéos (Total 114 min), 1 lecture, 1 quiz

7 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

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #220 min

Semaine

3

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.

14 vidéos (Total 114 min), 1 lecture, 1 quiz

14 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

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #320 min

Semaine

4

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.

9 vidéos (Total 67 min), 1 lecture, 1 quiz

9 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 00:3333s

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #416 min

Semaine

5

3 heures pour terminer

Image segmentation

Not all parts of the image are the same, and students will learn the basic techniques to partition an image, from simple threshold to more advanced graph cuts and active contours. This is the first unit where student will learn about image analysis and image interpretation, and will learn why this is important, e.g., in medical imaging and object recognition.

12 vidéos (Total 123 min), 1 lecture, 1 quiz

12 vidéos

1 - Introduction to Segmentation - Duration 04:174 min

2 - On Edges and Regions - Duration 05:175 min

3 - Hough Transform with Matlab Demo - Duration 20:5920 min

4 - Line Segment Detector with Demo - Duration 03:203 min

5 - Otsu's Segmentation with Demo - Duration 14:2514 min

6 - Congratulations - Duration 00:1717s

7 - Interactive Image Segmentation - Duration 21:1321 min

8 - Graph Cuts and Ms Office - Duration 09:349 min

9 - Mumford-Shah - Duration 05:505 min

10 - Active Contours - Introduction with ipol.im and Photoshop Demos - Duration 05:585 min

11 - Behind the Scenes of Adobe's Roto Brush - Duration 31:29 - Optional breaks at 20:30 and 27:2631 min

12 - End of the Week - Duration 00:2121s

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #518 min

Semaine

6

3 heures pour terminer

Geometric PDEs

This is all optional material. It will help the students that are more mathematically oriented and want to better understand the math behind next unit's lectures. But you will be able to handle without it.The quiz is therefore practice only.This is the first “advanced” unit and smoothly follows from the previous one. Students will learn very modern tools, widely used today, and will contrast with units 3,4 to illustrate how significantly more advanced mathematical tools are also very useful in image and video analysis. We will connect some of these advanced tools with classical ones, e.g., average with heat flow and median with anisotropic diffusion. This will help to provide unified views to the students.

9 vidéos (Total 168 min), 1 lecture, 1 quiz

9 vidéos

1 - Introduction to PDEs in Image and Video Processing - Duration 10:2210 min

2 - Planar Differential Geometry - Duration 38:33 - Optional breaks at 12:46, 21:03, and 29:4138 min

3 - Surface Differential Geometry - Duration 11:4311 min

4 - Curve Evolution - Duration 31:10 - Optional breaks at 08:50, 19:25, and 24:2231 min

5 - Level Sets and Curve Evolution - Duration 25:34 - Optional break at 14:3025 min

6 - Calculus of Variations - Duration 14:03 - Optional break at 06:2314 min

7 - Anisotropic Diffusion - Duration 11:1711 min

8 - Active Contours - Duration 16:57 - Optional break at 06:2316 min

9 - Bonus: Cool Contrast Enhancement via PDEs - Duration 08:328 min

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #614 min

Semaine

7

2 heures pour terminer

Image and video inpainting

Students will get involved with a very exciting topic, since image and video inpainting is one of the most used tools in the movie industry. They will learn the problem, and also how they can approach it from multiple directions. This will also help to illustrate how the same problem can be approached from multiple mathematical angles. We will connect this with Shanon’s work providing yet another angle. If you watched the lectures on PDEs you will have more mathematical background, but you will enjoy this unit and learn without it as well.

7 vidéos (Total 66 min), 1 lecture, 1 quiz

7 vidéos

1 - Introduction to Image Inpainting - Duration 08:168 min

2 - Inpainting in Nature - Duration 05:015 min

3 - PDEs and Inpainting - Duration 21:59 - Optional break at 13:3121 min

4 - Inpainting via Calculus of Variations - Duration 15:32 - Optional break at 10:0615 min

5 - Smart Cut and Paste - Duration 07:517 min

6 - Demo - Photoshop Inpainting Healing Brush - Duration 02:312 min

7 - Video Inpainting and Conclusions - Duration 05:135 min

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #714 min

Semaine

8

3 heures pour terminer

Sparse modeling and compressed sensing

Here the goal is to present one of the most modern tools in image and video processing, and students will learn something that is today at the top of active research. This will also help to illustrate the use of linear algebra and optimization in image and video processing. This is the last formal unit of the course.

8 vidéos (Total 128 min), 1 lecture, 1 quiz

8 vidéos

1 - Introduction to Sparse Modeling - Part 1 - Duration 10:3910 min

2 - Introduction to Sparse Modeling - Part 2 - Duration 18:1618 min

3 - Sparse Modeling - Implementation - Duration 24:30 - Optional break at 11:5824 min

4 - Dictionary Learning - Duration 17:13 - Optional break at 06:0317 min

5 - Sparse Modeling Image Processing Examples - Duration 20:57 - Optional break at 09:2520 min

6 - A Note on Compressed Sensing - Duration 05:105 min

7 - GMM and Structured Sparsity - Duration 15:4015 min

8 - Bonus: Sparse Modeling and Classification - Activity Recognition - Duration 15:1015 min

1 lecture

Optional programming exercises10 min

1 exercice pour s'entraîner

Quiz #818 min

Semaine

9

1 heure pour terminer

Medical imaging

This is a bonus unit. Enjoy it. Image processing has been very successful in medical imaging, and we will use examples from HIV and brain research to illustrate the importance of image processing in solving societal problems. We will describe the basic tools in these exciting applications, from the acquisition to the analysis.

5 vidéos (Total 75 min)

5 vidéos

1 - Introduction to Medical Imaging - Duration 07:037 min

2 - Image Processing and HIV (Part I) - Duration 23:51 - Optional breaks at 12:37 and 18:3923 min

2 - Image Processing and HIV (Part II) - Duration 16:3016 min

3 - Brain Imaging, Diffusion Imaging, Deep Brain Stimulation - Duration 26:2826 min

4 - Thanks!40s

Enseignant

Guillermo Sapiro

Professor

Electrical and Computer Engineering

Foire Aux Questions

Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si j'achète le Certificat ?
Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
Will I have fun?
Yes
Do I need strong math background for this class?
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 uses image processing in industry?
Who doesn't?
Do I need any programming skills?
We suggest some optional (not graded) programming exercises. The forums discuss them a lot and this is fun.
Will I receive a transcript from Duke University for completing this course?
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.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

100 % en ligne

Dates limites flexibles

Approx. 17 heures pour terminer

Anglais

Compétences que vous acquerrez

100 % en ligne

Dates limites flexibles

Approx. 17 heures pour terminer

Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Introduction to image and video processing

Image and video compression

Spatial processing

Image restoration

Image segmentation

Geometric PDEs

Image and video inpainting

Sparse modeling and compressed sensing

Medical imaging

25%

15%

14%

Principaux examens pour Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Enseignant

Guillermo Sapiro

À propos de Université Duke

Foire Aux Questions