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.
ofrecido por
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
Universidad Duke
Acerca de este Curso
61,951 vistas recientes
Resultados profesionales del estudiante
25%
comenzó una nueva carrera después de completar estos cursos
15%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
14%
consiguió un aumento de sueldo o ascenso
Habilidades que obtendrás
Image ProcessingImage CompressionImage RestorationImage Segmentation
Resultados profesionales del estudiante
25%
comenzó una nueva carrera después de completar estos cursos
15%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
14%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Ruso (Russian), Chino (simplificado)
ofrecido por
Universidad 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.
Programa - Qué aprenderás en este curso
2 horas para completar
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.
2 horas para completar
8 videos (Total 94 minutos), 1 lectura, 1 cuestionario
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 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #124m
2 horas para completar
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.
2 horas para completar
7 videos (Total 114 minutos), 1 lectura, 1 cuestionario
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 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #220m
2 horas para completar
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.
2 horas para completar
14 videos (Total 114 minutos), 1 lectura, 1 cuestionario
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 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #320m
2 horas para completar
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.
2 horas para completar
9 videos (Total 67 minutos), 1 lectura, 1 cuestionario
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 00:3333s
1 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #416m
Revisiones
Principales revisiones sobre IMAGE AND VIDEO PROCESSING: FROM MARS TO HOLLYWOOD WITH A STOP AT THE HOSPITAL
por YCJun 1, 2017
Very informative very useful and exciting course. Programming exercises must be included as compulsory assignments. I think it is really necessary and it will be extremely helpful to understand better
por ASOct 10, 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
por RKMar 25, 2020
This is an excellent course for understanding a lot of details on Image Processing. After this course, the more you apply the techniques learned, the more you make progress in the research field.
por MSMar 1, 2020
I learnt a lot of new information about image and techniques to do modifications and manipulation to them. The videos also polished some of my previous knowledge on image processing. Thanks.
por AAAug 6, 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.
por MKOct 13, 2018
A very nice covering of subject from basics to advance level of image processing. A good insight into theory and implementation of the Image processing algorithms.
por SMOct 11, 2019
I am right now half way through this course. The course is excellent and they way the content is presented by Professor Guillermo Sapiro is really enlightening.
por JZJan 11, 2020
Great course. Can be math heavy but instructor does a great job explaining the concepts if you're just trying to introduce yourself to the material.
por KSOct 13, 2017
Wonderful course with a lot of content to learn which helps in developing a better conceptual background for various Image processing applications.
por KSJun 3, 2018
What a great course, starting from the very basic it takes the learner towards the pinnacle of current research topics in image processing.
por SNMay 19, 2019
I really enjoyed this class. This class will give clear ideas about image and video compression, processing. I highly recommend this class.
por EOJul 1, 2017
Prof. Sapiro is amazing at explaining things, and having both an in person and an online component to the course was incredibly helpful.
por ESAug 18, 2017
Great course! A lot of hard math and it would have been amazing if we had matlab examples of the concepts we learned towards the end.
por SMAug 11, 2018
This course helped me a lot in better understanding of digital image processing.\n\nThank you course era for providing financial aid.
por SGOct 7, 2018
Everything in this course in well structured and up to the point.\n\nFast way to begin with the Image and Video Processing.
por TSMar 25, 2019
This course has proved to be really helpful in providing me the complete understanding of Image and video processing.
por APDec 14, 2017
Great MOOC! I wish it was more longer and had more to teach! Especially morphology and more on HIV reconstruction.
por RTAug 21, 2017
There are very few courses related to image processing and this is the best one covering wide variety of concepts
por VMJun 9, 2017
Great course with details on IMAGE processing for so many use cases from entertainment to medical brain imaging!
por FEDec 22, 2019
this course covers pretty much everything i needed, the instructor made everything easy, thank you Mr Guillermo
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si compro el Certificado?
Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.
¿Cuál es la política de reembolsos?
¿Hay ayuda económica disponible?
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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