Acerca de este Curso

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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.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Aprox. 21 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Habilidades que obtendrás

Image Processing
Image Compression
Image Restoration
Image Segmentation

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Aprox. 21 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

4,82/5 (129 calificaciones)

Guillermo Sapiro

Professor

Electrical and Computer Engineering

60.245 alumnos

1 curso

Programa - Qué aprenderás en este curso

Calificación del contenido97%(5,099 calificaciones)

Semana1

Semana 1

2 horas para completar

Introduction to image and video processing

2 horas para completar

8 videos (Total 94 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #130m

Semana2

Semana 2

3 horas para completar

Image and video compression

3 horas para completar

7 videos (Total 114 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #230m

Semana3

Semana 3

3 horas para completar

Spatial processing

3 horas para completar

14 videos (Total 114 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #330m

Semana4

Semana 4

2 horas para completar

Image restoration

2 horas para completar

9 videos (Total 67 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #430m

Semana5

Semana 5

3 horas para completar

Image segmentation

3 horas para completar

12 videos (Total 123 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #530m

Semana6

Semana 6

3 horas para completar

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 horas para completar

9 videos (Total 168 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #630m

Semana7

Semana 7

2 horas para completar

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 horas para completar

7 videos (Total 66 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #730m

Semana8

Semana 8

3 horas para completar

Sparse modeling and compressed sensing

3 horas para completar

8 videos (Total 128 minutos), 1 lectura, 1 cuestionario

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 lectura

Optional programming exercises10m

1 ejercicio de práctica

Quiz #830m

Semana9

Semana 9

1 hora para completar

Medical imaging

1 hora para completar

5 videos (Total 75 minutos)

Reseñas

4.7

199 reseña

5 stars
79,47 %
4 stars
16,23 %
3 stars
2,42 %
2 stars
0,74 %
1 star
1,11 %

Principales reseñas sobre IMAGE AND VIDEO PROCESSING: FROM MARS TO HOLLYWOOD WITH A STOP AT THE HOSPITAL

por SS20 de may. de 2020

It's definitely a great course if you are entering in the world of Image Processing and the basics to advanced are explained very nicely.

Thank you Sir!

por AD15 de abr. de 2020

Great course for learning different algorithms of signal processing and specially image processing. Examples are presented in a wonderful way.

por MK13 de oct. de 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 SM11 de ago. de 2018

This course helped me a lot in better understanding of digital image processing.

Thank you course era for providing financial aid.

Ver todas las reseñas

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿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.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.
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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Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital