Informações sobre o curso
4.8
419 classificações
88 avaliações
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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Prazos flexíveis

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Clock

Approx. 18 hours to complete

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

Legendas: English, Chinese (Simplified)...

Habilidades que você terá

Image ProcessingImage CompressionImage RestorationImage Segmentation
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 18 hours to complete

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

English

Legendas: English, Chinese (Simplified)...

Programa - O que você aprenderá com este curso

Week
1
Clock
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. ...
Reading
8 vídeos (Total de 94 min), 1 leitura, 1 teste
Video8 videos
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
Reading1 leituras
Optional programming exercises10min
Quiz1 exercício prático
Quiz #124min
Week
2
Clock
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....
Reading
7 vídeos (Total de 114 min), 1 leitura, 1 teste
Video7 videos
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
Reading1 leituras
Optional programming exercises10min
Quiz1 exercício prático
Quiz #220min
Week
3
Clock
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....
Reading
14 vídeos (Total de 114 min), 1 leitura, 1 teste
Video14 videos
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
Reading1 leituras
Optional programming exercises10min
Quiz1 exercício prático
Quiz #320min
Week
4
Clock
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....
Reading
9 vídeos (Total de 67 min), 1 leitura, 1 teste
Video9 videos
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 00:33min
Reading1 leituras
Optional programming exercises10min
Quiz1 exercício prático
Quiz #416min
4.8
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comecei uma nova carreira após concluir estes cursos
Briefcase

83%

consegui um benefício significativo de carreira com este curso
Money

12%

recebi um aumento ou promoção

Melhores avaliações

por ASOct 11th 2018

I god certified from Duke University through Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital\n\nAmazing with Coursera platform really Got Experienced from this subject

por AAAug 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.

Instrutores

Guillermo Sapiro

Professor
Electrical and Computer Engineering

Sobre 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....

Perguntas Frequentes – FAQ

  • 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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