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.
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
proposé par
Université Duke
À propos de ce cours
4.8
574 notes
Compétences que vous acquerrez
Image ProcessingImage CompressionImage RestorationImage Segmentation
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
12 heures pour terminer
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 vidéos (Total 94 min), 1 lecture, 1 quiz
8 vidéos
1 - What is image and video processing (part 1)10 min
1 - What is image and video processing (part 2)10 min
2 - Course logistics2 min
3 - Images are everywhere - Duration 06:316 min
4 - Human visual system - Duration 17:1017 min
5 - Image formation - Sampling & Quantization - Duration 28:1728 min
6 - Simple image operations - Duration 17:0517 min
1 lecture
Optional programming exercises10 min
1 exercice pour s'entraîner
Quiz #124 min
Semaine
22 heures pour terminer
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 vidéos (Total 114 min), 1 lecture, 1 quiz
7 vidéos
2 - Huffman coding - Duration 20:11 - Optional break at 06:5320 min
3 - JPEG's 8x8 blocks - Duration 05:375 min
4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:1325 min
5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:1824 min
6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:4519 min
7 - Bonus: Run-length compression - Duration 04:294 min
1 lecture
Optional programming exercises10 min
1 exercice pour s'entraîner
Quiz #220 min
Semaine
32 heures pour terminer
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 vidéos (Total 114 min), 1 lecture, 1 quiz
14 vidéos
2 - Demo - Enhancement & Histogram modification - Duration 03:533 min
3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:3019 min
4 - Histogram matching - Duration 08:318 min
5 - Introduction to local neighborhood operations - Duration 06:466 min
6 - Mathematical properties of averaging - Duration 11:0011 min
7 - Non-Local means - Duration 07:277 min
8 - IPOL Demo - Non-Local means - Duration 03:383 min
9 - Median filter - Duration 07:207 min
10 - Demo - Median filter - Duration 01:311 min
11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:3314 min
12 - Demo - Unsharp masking - Duration 03:103 min
13 - Gradients of scalar and vector images - Duration 05:575 min
14 - Concluding remarks - Duration 01:121 min
1 lecture
Optional programming exercises10 min
1 exercice pour s'entraîner
Quiz #320 min
Semaine
42 heures pour terminer
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 vidéos (Total 67 min), 1 lecture, 1 quiz
9 vidéos
2 - Noise types - Duration 12:4312 min
3 - Demo - Types of noise - Duration 03:033 min
4 - Noise and histograms - Duration 04:524 min
5 - Estimating noise - Duration 10:41 - Optional break at 05:0310 min
6 - Degradation Function - Duration 11:4011 min
7 - Wiener filtering - Duration 12:34 - Optional break at 06:5412 min
8 - Demo - Wiener and Box filters - Duration 03:193 min
9 - Concluding remarks - Duration 00:3333s
1 lecture
Optional programming exercises10 min
1 exercice pour s'entraîner
Quiz #416 min
4.8
111 avis25%
a commencé une nouvelle carrière après avoir terminé ces cours
12%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
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
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.
Enseignant
Guillermo Sapiro
ProfessorElectrical and Computer Engineering
À propos de Université Duke
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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si j'achète le Certificat ?
Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
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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