About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Approx. 21 hours to complete

English

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Skills you will gain

Image Processing
Image Compression
Image Restoration
Image Segmentation

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Approx. 21 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.82/5 (129 Ratings)

Guillermo Sapiro

Professor

Electrical and Computer Engineering

60,234 Learners

1 Course

Syllabus - What you will learn from this course

Content Rating97%(5,099 ratings)

Week1

Week 1

2 hours to complete

Introduction to image and video processing

2 hours to complete

8 videos (Total 94 min), 1 reading, 1 quiz

8 videos

0 - Welcome and Start Here33s1 - What is image and video processing (part 1)10m1 - What is image and video processing (part 2)10m2 - Course logistics2m3 - Images are everywhere - Duration 06:316m4 - Human visual system - Duration 17:1017m5 - Image formation - Sampling & Quantization - Duration 28:1728m6 - Simple image operations - Duration 17:0517m

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #130m

Week2

Week 2

3 hours to complete

Image and video compression

3 hours to complete

7 videos (Total 114 min), 1 reading, 1 quiz

7 videos

1 - The why and how of compression - Duration 14:1614m2 - Huffman coding - Duration 20:11 - Optional break at 06:5320m3 - JPEG's 8x8 blocks - Duration 05:375m4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325m5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824m6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519m7 - Bonus: Run-length compression - Duration 04:294m

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #230m

Week3

Week 3

3 hours to complete

Spatial processing

3 hours to complete

14 videos (Total 114 min), 1 reading, 1 quiz

14 videos

1 - Introduction to image enhancement - Duration 19:11 - Optional break at 08:3319m2 - Demo - Enhancement & Histogram modification - Duration 03:533m3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019m4 - Histogram matching - Duration 08:318m5 - Introduction to local neighborhood operations - Duration 06:466m6 - Mathematical properties of averaging - Duration 11:0011m7 - Non-Local means - Duration 07:277m8 - IPOL Demo - Non-Local means - Duration 03:383m9 - Median filter - Duration 07:207m10 - Demo - Median filter - Duration 01:311m11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314m12 - Demo - Unsharp masking - Duration 03:103m13 - Gradients of scalar and vector images - Duration 05:575m14 - Concluding remarks - Duration 01:121m

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #330m

Week4

Week 4

2 hours to complete

Image restoration

2 hours to complete

9 videos (Total 67 min), 1 reading, 1 quiz

9 videos

1 - What is image restoration - Duration 07:497m2 - Noise types - Duration 12:4312m3 - Demo - Types of noise - Duration 03:033m4 - Noise and histograms - Duration 04:524m5 - Estimating noise - Duration 10:41 - Optional break at 05:0310m6 - Degradation Function - Duration 11:4011m7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412m8 - Demo - Wiener and Box filters - Duration 03:193m9 - Concluding remarks - Duration 00:3333s

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #430m

Week5

Week 5

3 hours to complete

Image segmentation

3 hours to complete

12 videos (Total 123 min), 1 reading, 1 quiz

12 videos

1 - Introduction to Segmentation - Duration 04:174m2 - On Edges and Regions - Duration 05:175m3 - Hough Transform with Matlab Demo - Duration 20:5920m4 - Line Segment Detector with Demo - Duration 03:203m5 - Otsu's Segmentation with Demo - Duration 14:2514m6 - Congratulations - Duration 00:1717s7 - Interactive Image Segmentation - Duration 21:1321m8 - Graph Cuts and Ms Office - Duration 09:349m9 - Mumford-Shah - Duration 05:505m10 - Active Contours - Introduction with ipol.im and Photoshop Demos - Duration 05:585m11 - Behind the Scenes of Adobe's Roto Brush - Duration 31:29 - Optional breaks at 20:30 and 27:2631m12 - End of the Week - Duration 00:2121s

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #530m

Week6

Week 6

3 hours to complete

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.

3 hours to complete

9 videos (Total 168 min), 1 reading, 1 quiz

9 videos

1 - Introduction to PDEs in Image and Video Processing - Duration 10:2210m2 - Planar Differential Geometry - Duration 38:33 - Optional breaks at 12:46, 21:03, and 29:4138m3 - Surface Differential Geometry - Duration 11:4311m4 - Curve Evolution - Duration 31:10 - Optional breaks at 08:50, 19:25, and 24:2231m5 - Level Sets and Curve Evolution - Duration 25:34 - Optional break at 14:3025m6 - Calculus of Variations - Duration 14:03 - Optional break at 06:2314m7 - Anisotropic Diffusion - Duration 11:1711m8 - Active Contours - Duration 16:57 - Optional break at 06:2316m9 - Bonus: Cool Contrast Enhancement via PDEs - Duration 08:328m

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #630m

Week7

Week 7

2 hours to complete

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.

2 hours to complete

7 videos (Total 66 min), 1 reading, 1 quiz

7 videos

1 - Introduction to Image Inpainting - Duration 08:168m2 - Inpainting in Nature - Duration 05:015m3 - PDEs and Inpainting - Duration 21:59 - Optional break at 13:3121m4 - Inpainting via Calculus of Variations - Duration 15:32 - Optional break at 10:0615m5 - Smart Cut and Paste - Duration 07:517m6 - Demo - Photoshop Inpainting Healing Brush - Duration 02:312m7 - Video Inpainting and Conclusions - Duration 05:135m

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #730m

Week8

Week 8

3 hours to complete

Sparse modeling and compressed sensing

3 hours to complete

8 videos (Total 128 min), 1 reading, 1 quiz

8 videos

1 - Introduction to Sparse Modeling - Part 1 - Duration 10:3910m2 - Introduction to Sparse Modeling - Part 2 - Duration 18:1618m3 - Sparse Modeling - Implementation - Duration 24:30 - Optional break at 11:5824m4 - Dictionary Learning - Duration 17:13 - Optional break at 06:0317m5 - Sparse Modeling Image Processing Examples - Duration 20:57 - Optional break at 09:2520m6 - A Note on Compressed Sensing - Duration 05:105m7 - GMM and Structured Sparsity - Duration 15:4015m8 - Bonus: Sparse Modeling and Classification - Activity Recognition - Duration 15:1015m

1 reading

Optional programming exercises10m

1 practice exercise

Quiz #830m

Week9

Week 9

1 hour to complete

Medical imaging

1 hour to complete

5 videos (Total 75 min)

Reviews

4.7

199 reviews

5 stars
79.47%
4 stars
16.23%
3 stars
2.42%
2 stars
0.74%
1 star
1.11%

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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.

More questions? Visit the Learner Help Center.

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