Об этом курсе
4.8
387 ratings
83 reviews
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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Предполагаемая нагрузка: Each module is split in videos, you can finish a module in a week. Quizzes should take minutes.

Прибл. 18 ч. на завершение
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English

Субтитры: English, Chinese (Simplified)

Приобретаемые навыки

Image ProcessingImage CompressionImage SegmentationImage Restoration
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Clock

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

Прибл. 18 ч. на завершение
Comment Dots

English

Субтитры: English, Chinese (Simplified)

Программа курса: что вы изучите

1

Раздел
Clock
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. ...
Reading
8 видео (всего 94 мин.), 1 материал для самостоятельного изучения, 1 тест
Video8 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
Reading1 материал для самостоятельного изучения
Optional programming exercises10мин
Quiz1 практическое упражнение
Quiz #124мин

2

Раздел
Clock
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....
Reading
7 видео (всего 114 мин.), 1 материал для самостоятельного изучения, 1 тест
Video7 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
Reading1 материал для самостоятельного изучения
Optional programming exercises10мин
Quiz1 практическое упражнение
Quiz #220мин

3

Раздел
Clock
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....
Reading
14 видео (всего 114 мин.), 1 материал для самостоятельного изучения, 1 тест
Video14 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
Reading1 материал для самостоятельного изучения
Optional programming exercises10мин
Quiz1 практическое упражнение
Quiz #320мин

4

Раздел
Clock
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....
Reading
9 видео (всего 67 мин.), 1 материал для самостоятельного изучения, 1 тест
Video9 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 00:33мин
Reading1 материал для самостоятельного изучения
Optional programming exercises10мин
Quiz1 практическое упражнение
Quiz #416мин
4.8
Direction Signs

67%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу
Money

12%

стал больше зарабатывать или получил повышение

Лучшие рецензии

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.

автор: KSOct 14th 2017

Wonderful course with a lot of content to learn which helps in developing a better conceptual background for various Image processing applications.

Преподаватель

Guillermo Sapiro

Professor
Electrical and Computer Engineering

О 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....

Часто задаваемые вопросы

  • 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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