Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
4.8
352 ratings
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
Duke University
Informações sobre o curso
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.
Syllabus - What you will learn from this course
1
Section
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 videos (Total 94 min), 1 reading, 1 quiz
8 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
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #124m
2
Section
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 videos (Total 114 min), 1 reading, 1 quiz
7 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
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #220m
3
Section
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 videos (Total 114 min), 1 reading, 1 quiz
14 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
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #320m
4
Section
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 videos (Total 67 min), 1 reading, 1 quiz
9 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 00:330m
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #416m
5
Section
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 videos (Total 123 min), 1 reading, 1 quiz
12 videos
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 00:170m
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 00:210m
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #518m
6
Section
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 videos (Total 168 min), 1 reading, 1 quiz
9 videos
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
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #614m
7
Section
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 videos (Total 66 min), 1 reading, 1 quiz
7 videos
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
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #714m
8
Section
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 videos (Total 128 min), 1 reading, 1 quiz
8 videos
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
1 readings
Optional programming exercises10m
1 practice exercises
Quiz #818m
9
Section
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 videos (Total 75 min)
5 videos
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!0m
4.8
67%
83%
12%
Top Reviews
By ZZ•Feb 10th 2017
It's extremely enjoyment to take this course.If there is more exercise to take,it may lead to in-deep understanding.Thanks a lot for the donation of teacher Guillermo Sapiro and his team!
By AA•Aug 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
Guillermo Sapiro
ProfessorAbout 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
When will I have access to the lectures and assignments?
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.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.
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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