About this Course
4.8
452 ratings
93 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 17 hours to complete

Suggested: Each module is split in videos, you can finish a module in a week. Quizzes should take minutes....
Available languages

English

Subtitles: English, Chinese (Simplified)...

Skills you will gain

Image ProcessingImage CompressionImage RestorationImage Segmentation
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 17 hours to complete

Suggested: Each module is split in videos, you can finish a module in a week. Quizzes should take minutes....
Available languages

English

Subtitles: English, Chinese (Simplified)...

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

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 videos (Total 94 min), 1 reading, 1 quiz
Video8 videos
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
Reading1 reading
Optional programming exercises10m
Quiz1 practice exercise
Quiz #124m
Week
2
Hours to complete
2 hours to complete

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 videos (Total 114 min), 1 reading, 1 quiz
Video7 videos
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
Reading1 reading
Optional programming exercises10m
Quiz1 practice exercise
Quiz #220m
Week
3
Hours to complete
2 hours to complete

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 videos (Total 114 min), 1 reading, 1 quiz
Video14 videos
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
Reading1 reading
Optional programming exercises10m
Quiz1 practice exercise
Quiz #320m
Week
4
Hours to complete
2 hours to complete

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 videos (Total 67 min), 1 reading, 1 quiz
Video9 videos
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 00:33m
Reading1 reading
Optional programming exercises10m
Quiz1 practice exercise
Quiz #416m
4.8
Career direction

67%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

12%

got a pay increase or promotion

Top Reviews

By 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

By 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.

Instructor

Avatar

Guillermo Sapiro

Professor
Electrical and Computer Engineering

About 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....

Frequently Asked Questions

  • 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.

More questions? Visit the Learner Help Center.