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Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

듀크대학교

이 강좌에 대하여

최근 조회 80,073회

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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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

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영어

자막: 영어, 러시아어, 중국어 (간체자)

귀하가 습득할 기술

Image ProcessingImage CompressionImage RestorationImage Segmentation

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일정에 따라 마감일을 재설정합니다.

완료하는 데 약 20시간 필요

영어

자막: 영어, 러시아어, 중국어 (간체자)

강사

강사 평가

4.71/5 (50개의 평가)

Guillermo Sapiro

Professor

Electrical and Computer Engineering

41,761명의 학습자

1 Course

제공자:

듀크대학교

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.

강의 계획 - 이 강좌에서 배울 내용

콘텐츠 평가97%(3,984개의 평가)

주

주 1

완료하는 데 2시간 필요

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.

완료하는 데 2시간 필요

8개 동영상 (총 94분), 1 개의 읽기 자료, 1 개의 테스트

8개의 동영상

0 - Welcome and Start Here33

1 - What is image and video processing (part 1)10m

1 - What is image and video processing (part 2)10m

2 - Course logistics2m

3 - Images are everywhere - Duration 06:316m

4 - Human visual system - Duration 17:1017m

5 - Image formation - Sampling & Quantization - Duration 28:1728m

6 - Simple image operations - Duration 17:0517m

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #124m

주

주 2

완료하는 데 2시간 필요

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.

완료하는 데 2시간 필요

7개 동영상 (총 114분), 1 개의 읽기 자료, 1 개의 테스트

7개의 동영상

1 - The why and how of compression - Duration 14:1614m

2 - Huffman coding - Duration 20:11 - Optional break at 06:5320m

3 - JPEG's 8x8 blocks - Duration 05:375m

4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325m

5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824m

6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519m

7 - Bonus: Run-length compression - Duration 04:294m

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #220m

주

주 3

완료하는 데 2시간 필요

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.

완료하는 데 2시간 필요

14개 동영상 (총 114분), 1 개의 읽기 자료, 1 개의 테스트

14개의 동영상

1 - Introduction to image enhancement - Duration 19:11 - Optional break at 08:3319m

2 - Demo - Enhancement & Histogram modification - Duration 03:533m

3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019m

4 - Histogram matching - Duration 08:318m

5 - Introduction to local neighborhood operations - Duration 06:466m

6 - Mathematical properties of averaging - Duration 11:0011m

7 - Non-Local means - Duration 07:277m

8 - IPOL Demo - Non-Local means - Duration 03:383m

9 - Median filter - Duration 07:207m

10 - Demo - Median filter - Duration 01:311m

11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314m

12 - Demo - Unsharp masking - Duration 03:103m

13 - Gradients of scalar and vector images - Duration 05:575m

14 - Concluding remarks - Duration 01:121m

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #320m

주

주 4

완료하는 데 2시간 필요

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.

완료하는 데 2시간 필요

9개 동영상 (총 67분), 1 개의 읽기 자료, 1 개의 테스트

9개의 동영상

1 - What is image restoration - Duration 07:497m

2 - Noise types - Duration 12:4312m

3 - Demo - Types of noise - Duration 03:033m

4 - Noise and histograms - Duration 04:524m

5 - Estimating noise - Duration 10:41 - Optional break at 05:0310m

6 - Degradation Function - Duration 11:4011m

7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412m

8 - Demo - Wiener and Box filters - Duration 03:193m

9 - Concluding remarks - Duration 00:3333

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #416m

주

주 5

완료하는 데 3시간 필요

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.

완료하는 데 3시간 필요

12개 동영상 (총 123분), 1 개의 읽기 자료, 1 개의 테스트

12개의 동영상

1 - Introduction to Segmentation - Duration 04:174m

2 - On Edges and Regions - Duration 05:175m

3 - Hough Transform with Matlab Demo - Duration 20:5920m

4 - Line Segment Detector with Demo - Duration 03:203m

5 - Otsu's Segmentation with Demo - Duration 14:2514m

6 - Congratulations - Duration 00:1717

7 - Interactive Image Segmentation - Duration 21:1321m

8 - Graph Cuts and Ms Office - Duration 09:349m

9 - Mumford-Shah - Duration 05:505m

10 - Active Contours - Introduction with ipol.im and Photoshop Demos - Duration 05:585m

11 - Behind the Scenes of Adobe's Roto Brush - Duration 31:29 - Optional breaks at 20:30 and 27:2631m

12 - End of the Week - Duration 00:2121

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #518m

주

주 6

완료하는 데 3시간 필요

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.

완료하는 데 3시간 필요

9개 동영상 (총 168분), 1 개의 읽기 자료, 1 개의 테스트

9개의 동영상

1 - Introduction to PDEs in Image and Video Processing - Duration 10:2210m

2 - Planar Differential Geometry - Duration 38:33 - Optional breaks at 12:46, 21:03, and 29:4138m

3 - Surface Differential Geometry - Duration 11:4311m

4 - Curve Evolution - Duration 31:10 - Optional breaks at 08:50, 19:25, and 24:2231m

5 - Level Sets and Curve Evolution - Duration 25:34 - Optional break at 14:3025m

6 - Calculus of Variations - Duration 14:03 - Optional break at 06:2314m

7 - Anisotropic Diffusion - Duration 11:1711m

8 - Active Contours - Duration 16:57 - Optional break at 06:2316m

9 - Bonus: Cool Contrast Enhancement via PDEs - Duration 08:328m

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #614m

주

주 7

완료하는 데 2시간 필요

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.

완료하는 데 2시간 필요

7개 동영상 (총 66분), 1 개의 읽기 자료, 1 개의 테스트

7개의 동영상

1 - Introduction to Image Inpainting - Duration 08:168m

2 - Inpainting in Nature - Duration 05:015m

3 - PDEs and Inpainting - Duration 21:59 - Optional break at 13:3121m

4 - Inpainting via Calculus of Variations - Duration 15:32 - Optional break at 10:0615m

5 - Smart Cut and Paste - Duration 07:517m

6 - Demo - Photoshop Inpainting Healing Brush - Duration 02:312m

7 - Video Inpainting and Conclusions - Duration 05:135m

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #714m

주

주 8

완료하는 데 3시간 필요

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.

완료하는 데 3시간 필요

8개 동영상 (총 128분), 1 개의 읽기 자료, 1 개의 테스트

8개의 동영상

1 - Introduction to Sparse Modeling - Part 1 - Duration 10:3910m

2 - Introduction to Sparse Modeling - Part 2 - Duration 18:1618m

3 - Sparse Modeling - Implementation - Duration 24:30 - Optional break at 11:5824m

4 - Dictionary Learning - Duration 17:13 - Optional break at 06:0317m

5 - Sparse Modeling Image Processing Examples - Duration 20:57 - Optional break at 09:2520m

6 - A Note on Compressed Sensing - Duration 05:105m

7 - GMM and Structured Sparsity - Duration 15:4015m

8 - Bonus: Sparse Modeling and Classification - Activity Recognition - Duration 15:1015m

1개의 읽기 자료

Optional programming exercises10m

1개 연습문제

Quiz #818m

주

주 9

완료하는 데 1시간 필요

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.

완료하는 데 1시간 필요

5개 동영상 (총 75분)

5개의 동영상

1 - Introduction to Medical Imaging - Duration 07:037m

2 - Image Processing and HIV (Part I) - Duration 23:51 - Optional breaks at 12:37 and 18:3923m

2 - Image Processing and HIV (Part II) - Duration 16:3016m

3 - Brain Imaging, Diffusion Imaging, Deep Brain Stimulation - Duration 26:2826m

4 - Thanks!40

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결제일 기준 2주 후 또는 (방금 시작된 강좌의 경우) 강좌의 첫 번째 세션이 시작된 후 2주 후 중에서 나중에 도래하는 날짜까지 전액 환불받을 수 있습니다. 2주 환불 기간 이내에 강좌를 완료했더라도 강좌 수료증을 받았으면 환불받을 수 없습니다. 전체 환불 정책을 확인하세요.
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예, Coursera는 수업료를 지급하기 어려운 학습자들에게 재정 지원을 제공합니다. 왼쪽의 "등록" 버튼 아래에 있는 재정 지원 링크를 클릭하면 재정 지원을 신청할 수 있습니다. 이 링크를 클릭하면 신청서를 작성하라는 메시지가 나타나며, 신청서가 승인되면 통지를 받게 됩니다. 자세히 알아보세요.
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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모든 강의, 읽기 자료 및 과제에 무료로 액세스

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

이 강좌에 대하여

학습자 경력 결과

25%

15%

14%

귀하가 습득할 기술

학습자 경력 결과

25%

15%

14%

강사

Guillermo Sapiro

제공자:

듀크대학교

강의 계획 - 이 강좌에서 배울 내용

주 1

Introduction to image and video processing

주 2

Image and video compression

주 3

Spatial processing

주 4

Image restoration

주 5

Image segmentation

주 6

Geometric PDEs

주 7

Image and video inpainting

주 8

Sparse modeling and compressed sensing

주 9

Medical imaging

검토

IMAGE AND VIDEO PROCESSING: FROM MARS TO HOLLYWOOD WITH A STOP AT THE HOSPITAL의 최상위 리뷰

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