Informações sobre o curso

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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.

Resultados de carreira do aprendiz

25%

comecei uma nova carreira após concluir estes cursos

15%

consegui um benefício significativo de carreira com este curso

14%

recebi um aumento ou promoção

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 20 horas para completar

Inglês

Legendas: Inglês, Russo, Chinês (simplificado)

Habilidades que você terá

Image ProcessingImage CompressionImage RestorationImage Segmentation

Resultados de carreira do aprendiz

25%

comecei uma nova carreira após concluir estes cursos

15%

consegui um benefício significativo de carreira com este curso

14%

recebi um aumento ou promoção

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 20 horas para completar

Inglês

Legendas: Inglês, Russo, Chinês (simplificado)

Programa - O que você aprenderá com este curso

Classificação do conteúdo97%(3,948 classificações)

Semana

1

Semana 1

2 horas para concluir

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.

2 horas para concluir

8 vídeos (Total 94 mín.), 1 leitura, 1 teste

8 videos

0 - Welcome and Start Here33s

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

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

2 - Course logistics2min

3 - Images are everywhere - Duration 06:316min

4 - Human visual system - Duration 17:1017min

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

6 - Simple image operations - Duration 17:0517min

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #124min

Semana

2

Semana 2

2 horas para concluir

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.

2 horas para concluir

7 vídeos (Total 114 mín.), 1 leitura, 1 teste

7 videos

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

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

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

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

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

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

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

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #220min

Semana

3

Semana 3

2 horas para concluir

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.

2 horas para concluir

14 vídeos (Total 114 mín.), 1 leitura, 1 teste

14 videos

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

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

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

4 - Histogram matching - Duration 08:318min

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

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

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

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

9 - Median filter - Duration 07:207min

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

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

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

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

14 - Concluding remarks - Duration 01:121min

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #320min

Semana

4

Semana 4

2 horas para concluir

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.

2 horas para concluir

9 vídeos (Total 67 mín.), 1 leitura, 1 teste

9 videos

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

2 - Noise types - Duration 12:4312min

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

4 - Noise and histograms - Duration 04:524min

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

6 - Degradation Function - Duration 11:4011min

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

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

9 - Concluding remarks - Duration 00:3333s

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #416min

Semana

5

Semana 5

3 horas para concluir

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.

3 horas para concluir

12 vídeos (Total 123 mín.), 1 leitura, 1 teste

12 videos

1 - Introduction to Segmentation - Duration 04:174min

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

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

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

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

6 - Congratulations - Duration 00:1717s

7 - Interactive Image Segmentation - Duration 21:1321min

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

9 - Mumford-Shah - Duration 05:505min

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

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

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

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #518min

Semana

6

Semana 6

3 horas para concluir

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.

3 horas para concluir

9 vídeos (Total 168 mín.), 1 leitura, 1 teste

9 videos

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

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

3 - Surface Differential Geometry - Duration 11:4311min

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

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

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

7 - Anisotropic Diffusion - Duration 11:1711min

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

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

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #614min

Semana

7

Semana 7

2 horas para concluir

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.

2 horas para concluir

7 vídeos (Total 66 mín.), 1 leitura, 1 teste

7 videos

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

2 - Inpainting in Nature - Duration 05:015min

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

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

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

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

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

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #714min

Semana

8

Semana 8

3 horas para concluir

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.

3 horas para concluir

8 vídeos (Total 128 mín.), 1 leitura, 1 teste

8 videos

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

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

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

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

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

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

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

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

1 leituras

Optional programming exercises10min

1 exercício prático

Quiz #818min

Semana

9

Semana 9

1 hora para concluir

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.

1 hora para concluir

5 vídeos (Total 75 mín.)

5 videos

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

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

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

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

4 - Thanks!40s

Perguntas Frequentes – FAQ

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?

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.
What is the refund policy?

You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Is financial aid available?

Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
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