Über diesen Kurs

42,922 kürzliche Aufrufe

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 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 17 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch, Chinesisch (vereinfacht)

Kompetenzen, die Sie erwerben

Image ProcessingImage CompressionImage RestorationImage Segmentation

Kursteilnehmer, die sich für Course entscheiden, sind

Machine Learning Engineers
Data Scientists
Researchers

Scientists
Professors

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 17 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch, Chinesisch (vereinfacht)

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche

1

2 Stunden zum Abschließen

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 Videos (Gesamt 94 min), 1 Lektüre, 1 Quiz

8 Videos

0 - Welcome and Start Here33

1 - What is image and video processing (part 1)10m

1 - What is image and video processing (part 2)10m

2 - Course logistics2m

3 - Images are everywhere - Duration 06:316m

4 - Human visual system - Duration 17:1017m

5 - Image formation - Sampling & Quantization - Duration 28:1728m

6 - Simple image operations - Duration 17:0517m

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #124m

Woche

2

2 Stunden zum Abschließen

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 Videos (Gesamt 114 min), 1 Lektüre, 1 Quiz

7 Videos

1 - The why and how of compression - Duration 14:1614m

2 - Huffman coding - Duration 20:11 - Optional break at 06:5320m

3 - JPEG's 8x8 blocks - Duration 05:375m

4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325m

5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824m

6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519m

7 - Bonus: Run-length compression - Duration 04:294m

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #220m

Woche

3

2 Stunden zum Abschließen

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 Videos (Gesamt 114 min), 1 Lektüre, 1 Quiz

14 Videos

1 - Introduction to image enhancement - Duration 19:11 - Optional break at 08:3319m

2 - Demo - Enhancement & Histogram modification - Duration 03:533m

3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019m

4 - Histogram matching - Duration 08:318m

5 - Introduction to local neighborhood operations - Duration 06:466m

6 - Mathematical properties of averaging - Duration 11:0011m

7 - Non-Local means - Duration 07:277m

8 - IPOL Demo - Non-Local means - Duration 03:383m

9 - Median filter - Duration 07:207m

10 - Demo - Median filter - Duration 01:311m

11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314m

12 - Demo - Unsharp masking - Duration 03:103m

13 - Gradients of scalar and vector images - Duration 05:575m

14 - Concluding remarks - Duration 01:121m

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #320m

Woche

4

2 Stunden zum Abschließen

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 Videos (Gesamt 67 min), 1 Lektüre, 1 Quiz

9 Videos

1 - What is image restoration - Duration 07:497m

2 - Noise types - Duration 12:4312m

3 - Demo - Types of noise - Duration 03:033m

4 - Noise and histograms - Duration 04:524m

5 - Estimating noise - Duration 10:41 - Optional break at 05:0310m

6 - Degradation Function - Duration 11:4011m

7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412m

8 - Demo - Wiener and Box filters - Duration 03:193m

9 - Concluding remarks - Duration 00:3333

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #416m

Woche

5

3 Stunden zum Abschließen

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 Videos (Gesamt 123 min), 1 Lektüre, 1 Quiz

12 Videos

1 - Introduction to Segmentation - Duration 04:174m

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

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

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

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

6 - Congratulations - Duration 00:1717

7 - Interactive Image Segmentation - Duration 21:1321m

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

9 - Mumford-Shah - Duration 05:505m

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

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

12 - End of the Week - Duration 00:2121

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #518m

Woche

6

3 Stunden zum Abschließen

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 Videos (Gesamt 168 min), 1 Lektüre, 1 Quiz

9 Videos

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

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

3 - Surface Differential Geometry - Duration 11:4311m

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

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

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

7 - Anisotropic Diffusion - Duration 11:1711m

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

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

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #614m

Woche

7

2 Stunden zum Abschließen

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 Videos (Gesamt 66 min), 1 Lektüre, 1 Quiz

7 Videos

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

2 - Inpainting in Nature - Duration 05:015m

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

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

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

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

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

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #714m

Woche

8

3 Stunden zum Abschließen

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 Videos (Gesamt 128 min), 1 Lektüre, 1 Quiz

8 Videos

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

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

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

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

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

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

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

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

1 Lektüre

Optional programming exercises10m

1 praktische Übung

Quiz #818m

Woche

9

1 Stunde zum Abschließen

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 Videos (Gesamt 75 min)

5 Videos

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

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

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

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

4 - Thanks!40

Dozent

Guillermo Sapiro

Professor

Electrical and Computer Engineering

Häufig gestellte Fragen

Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich das Zertifikat erwerbe?
Wenn Sie ein Zertifikat erwerben, erhalten Sie Zugriff auf alle Kursmaterialien, einschließlich bewerteter Aufgaben. Nach Abschluss des Kurses wird Ihr elektronisches Zertifikat zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
Wie erfolgen Rückerstattungen?
Ist finanzielle Unterstützung möglich?
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.

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

100 % online

Flexible Fristen

Ca. 17 Stunden zum Abschließen

Englisch

Kompetenzen, die Sie erwerben

100 % online

Flexible Fristen

Ca. 17 Stunden zum Abschließen

Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

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%

Top-Bewertungen von Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Dozent

Guillermo Sapiro

Über Duke University

Häufig gestellte Fragen