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.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Aprox. 21 horas para completar

Inglês

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Habilidades que você terá

Image Processing
Image Compression
Image Restoration
Image Segmentation

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Aprox. 21 horas para completar

Inglês

Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?

Experimente o Coursera for Business

Instrutores

Classificação do instrutor

4,84/5 (128 classificações)

Guillermo Sapiro
Instrutor principal

Professor

Electrical and Computer Engineering

59.616 aprendizes

1 Curso

Programa - O que você aprenderá com este curso

Classificação do conteúdo97%(5,092 classificações)

Semana

1

Semana 1

2 horas para concluir

Introduction to image and video processing

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 #130min

Semana

2

Semana 2

3 horas para concluir

Image and video compression

3 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 #230min

Semana

3

Semana 3

3 horas para concluir

Spatial processing

3 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 #330min

Semana

4

Semana 4

2 horas para concluir

Image restoration

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 #430min

Semana

5

Semana 5

3 horas para concluir

Image segmentation

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 #530min

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 #630min

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 #730min

Semana

8

Semana 8

3 horas para concluir

Sparse modeling and compressed sensing

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 #830min

Semana

9

Semana 9

1 hora para concluir

Medical imaging

1 hora para concluir

5 vídeos (Total 75 mín.)

Avaliações

4.7

198 avaliações

5 stars
79,51%
4 stars
16,27%
3 stars
2,43%
2 stars
0,65%
1 star
1,12%

Principais avaliações do IMAGE AND VIDEO PROCESSING: FROM MARS TO HOLLYWOOD WITH A STOP AT THE HOSPITAL

por AA6 de ago de 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.

por SG7 de out de 2018

Everything in this course in well structured and up to the point.

Fast way to begin with the Image and Video Processing.

por AS10 de out de 2018

I god certified from Duke University through Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Amazing with Coursera platform really Got Experienced from this subject

por MS1 de mar de 2020

I learnt a lot of new information about image and techniques to do modifications and manipulation to them. The videos also polished some of my previous knowledge on image processing. Thanks.

Visualizar todas as avaliações

Perguntas Frequentes – FAQ

Quando terei acesso às palestras e às tarefas?
O acesso a palestras e tarefas depende do tipo de inscrição. Se você participar de um curso como ouvinte, você poderá ver quase todo o conteúdo do curso gratuitamente. Para acessar tarefas valendo nota e obter um Certificado, você precisará adquirir a experiência do Certificado, durante ou após a participação como ouvinte. Se você não vir a opção de participar como ouvinte:
o curso pode não oferecer essa opção. Você pode experimentar um teste gratuito ou solicitar o auxílio financeiro.
Em vez disso, o curso pode oferecer 'Curso completo, sem Certificado'. Com esta opção, é possível ver todo o conteúdo do curso, enviar as avaliações necessárias e obter uma nota final. Isso também significa que você não poderá comprar uma experiência de Certificado.
O que recebo ao adquirir o Certificado?
Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Existe algum auxílio financeiro disponível?
Sim. Em programas de aprendizado selecionados, você pode solicitar auxílio financeiro ou uma bolsa de estudos caso não consiga pagar a taxa de inscrição. Se o auxílio financeiro ou bolsa de estudos estiver disponível para a seleção do seu programa de aprendizado, você encontrará um link para se inscrever na página de descrição.
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