Об этом курсе
4.8
Оценки: 586
Рецензии: 112

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Прибл. 16 часа на выполнение

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

Английский

Субтитры: Английский, Китайский (упрощенное письмо)

Приобретаемые навыки

Image ProcessingImage CompressionImage RestorationImage Segmentation

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Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.

Прибл. 16 часа на выполнение

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

Английский

Субтитры: Английский, Китайский (упрощенное письмо)

Программа курса: что вы изучите

Неделя
1
2 ч. на завершение

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 видео ((всего 94 мин.)), 1 материал для самостоятельного изучения, 1 тест
8 видео
1 - What is image and video processing (part 1)10мин
1 - What is image and video processing (part 2)10мин
2 - Course logistics2мин
3 - Images are everywhere - Duration 06:316мин
4 - Human visual system - Duration 17:1017мин
5 - Image formation - Sampling & Quantization - Duration 28:1728мин
6 - Simple image operations - Duration 17:0517мин
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #124мин
Неделя
2
2 ч. на завершение

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 видео ((всего 114 мин.)), 1 материал для самостоятельного изучения, 1 тест
7 видео
2 - Huffman coding - Duration 20:11 - Optional break at 06:5320мин
3 - JPEG's 8x8 blocks - Duration 05:375мин
4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325мин
5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824мин
6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519мин
7 - Bonus: Run-length compression - Duration 04:294мин
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #220мин
Неделя
3
2 ч. на завершение

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 видео ((всего 114 мин.)), 1 материал для самостоятельного изучения, 1 тест
14 видео
2 - Demo - Enhancement & Histogram modification - Duration 03:533мин
3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019мин
4 - Histogram matching - Duration 08:318мин
5 - Introduction to local neighborhood operations - Duration 06:466мин
6 - Mathematical properties of averaging - Duration 11:0011мин
7 - Non-Local means - Duration 07:277мин
8 - IPOL Demo - Non-Local means - Duration 03:383мин
9 - Median filter - Duration 07:207мин
10 - Demo - Median filter - Duration 01:311мин
11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314мин
12 - Demo - Unsharp masking - Duration 03:103мин
13 - Gradients of scalar and vector images - Duration 05:575мин
14 - Concluding remarks - Duration 01:121мин
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #320мин
Неделя
4
2 ч. на завершение

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 видео ((всего 67 мин.)), 1 материал для самостоятельного изучения, 1 тест
9 видео
2 - Noise types - Duration 12:4312мин
3 - Demo - Types of noise - Duration 03:033мин
4 - Noise and histograms - Duration 04:524мин
5 - Estimating noise - Duration 10:41 - Optional break at 05:0310мин
6 - Degradation Function - Duration 11:4011мин
7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412мин
8 - Demo - Wiener and Box filters - Duration 03:193мин
9 - Concluding remarks - Duration 00:3333
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #416мин
Неделя
5
3 ч. на завершение

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 видео ((всего 123 мин.)), 1 материал для самостоятельного изучения, 1 тест
12 видео
2 - On Edges and Regions - Duration 05:175мин
3 - Hough Transform with Matlab Demo - Duration 20:5920мин
4 - Line Segment Detector with Demo - Duration 03:203мин
5 - Otsu's Segmentation with Demo - Duration 14:2514мин
6 - Congratulations - Duration 00:1717
7 - Interactive Image Segmentation - Duration 21:1321мин
8 - Graph Cuts and Ms Office - Duration 09:349мин
9 - Mumford-Shah - Duration 05:505мин
10 - Active Contours - Introduction with ipol.im and Photoshop Demos - Duration 05:585мин
11 - Behind the Scenes of Adobe's Roto Brush - Duration 31:29 - Optional breaks at 20:30 and 27:2631мин
12 - End of the Week - Duration 00:2121
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #518мин
Неделя
6
3 ч. на завершение

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 видео ((всего 168 мин.)), 1 материал для самостоятельного изучения, 1 тест
9 видео
2 - Planar Differential Geometry - Duration 38:33 - Optional breaks at 12:46, 21:03, and 29:4138мин
3 - Surface Differential Geometry - Duration 11:4311мин
4 - Curve Evolution - Duration 31:10 - Optional breaks at 08:50, 19:25, and 24:2231мин
5 - Level Sets and Curve Evolution - Duration 25:34 - Optional break at 14:3025мин
6 - Calculus of Variations - Duration 14:03 - Optional break at 06:2314мин
7 - Anisotropic Diffusion - Duration 11:1711мин
8 - Active Contours - Duration 16:57 - Optional break at 06:2316мин
9 - Bonus: Cool Contrast Enhancement via PDEs - Duration 08:328мин
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #614мин
Неделя
7
2 ч. на завершение

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 видео ((всего 66 мин.)), 1 материал для самостоятельного изучения, 1 тест
7 видео
2 - Inpainting in Nature - Duration 05:015мин
3 - PDEs and Inpainting - Duration 21:59 - Optional break at 13:3121мин
4 - Inpainting via Calculus of Variations - Duration 15:32 - Optional break at 10:0615мин
5 - Smart Cut and Paste - Duration 07:517мин
6 - Demo - Photoshop Inpainting Healing Brush - Duration 02:312мин
7 - Video Inpainting and Conclusions - Duration 05:135мин
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #714мин
Неделя
8
3 ч. на завершение

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 видео ((всего 128 мин.)), 1 материал для самостоятельного изучения, 1 тест
8 видео
2 - Introduction to Sparse Modeling - Part 2 - Duration 18:1618мин
3 - Sparse Modeling - Implementation - Duration 24:30 - Optional break at 11:5824мин
4 - Dictionary Learning - Duration 17:13 - Optional break at 06:0317мин
5 - Sparse Modeling Image Processing Examples - Duration 20:57 - Optional break at 09:2520мин
6 - A Note on Compressed Sensing - Duration 05:105мин
7 - GMM and Structured Sparsity - Duration 15:4015мин
8 - Bonus: Sparse Modeling and Classification - Activity Recognition - Duration 15:1015мин
1 материал для самостоятельного изучения
Optional programming exercises10мин
1 практическое упражнение
Quiz #818мин
Неделя
9
1 ч. на завершение

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 видео ((всего 75 мин.))
5 видео
2 - Image Processing and HIV (Part I) - Duration 23:51 - Optional breaks at 12:37 and 18:3923мин
2 - Image Processing and HIV (Part II) - Duration 16:3016мин
3 - Brain Imaging, Diffusion Imaging, Deep Brain Stimulation - Duration 26:2826мин
4 - Thanks!40
4.8
Рецензии: 112Chevron Right

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начал новую карьеру, пройдя эти курсы

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получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: 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

автор: 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.

Преподаватели

Avatar

Guillermo Sapiro

Professor
Electrical and Computer Engineering

О Университет Дьюка

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....

Часто задаваемые вопросы

  • Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.

  • Оплатив сертификацию, вы получите доступ ко всем материалам курса, включая оцениваемые задания. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.

  • 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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