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.
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
oferecido por
Duke University
Informações sobre o curso
4.8
460 classificações
Habilidades que você terá
Image ProcessingImage CompressionImage RestorationImage Segmentation
Programa - O que você aprenderá com este curso
Semana
1Introduction 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 (Total 94 min), 1 leitura, 1 teste
8 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
1 leituras
Optional programming exercises10min
1 exercício prático
Quiz #124min
Semana
2Image 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 (Total 114 min), 1 leitura, 1 teste
7 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
1 leituras
Optional programming exercises10min
1 exercício prático
Quiz #220min
Semana
3Spatial 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 (Total 114 min), 1 leitura, 1 teste
14 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
1 leituras
Optional programming exercises10min
1 exercício prático
Quiz #320min
Semana
4Image 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 (Total 67 min), 1 leitura, 1 teste
9 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
1 leituras
Optional programming exercises10min
1 exercício prático
Quiz #416min
67%
comecei uma nova carreira após concluir estes cursos
83%
consegui um benefício significativo de carreira com este curso
12%
recebi um aumento ou promoção
Melhores avaliações
por AS•Oct 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 AA•Aug 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
ProfessorElectrical 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
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
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.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
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.
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.
© 2018 Coursera Inc. Todos os direitos reservados.
