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
ofrecido por
Duke University
Acerca de este Curso
4.8
460 calificaciones
Habilidades que obtendrás
Image ProcessingImage CompressionImage RestorationImage Segmentation
Programa - Qué aprenderás en este curso
Semana
1Introduction 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 minutos), 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 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #124m
Semana
2Image 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 minutos), 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 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #220m
Semana
3Spatial 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 minutos), 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 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #320m
Semana
4Image 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 minutos), 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 00:33m
1 lectura
Optional programming exercises10m
1 ejercicio de práctica
Quiz #416m
67%
comenzó una nueva carrera después de completar estos cursos
83%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
12%
consiguió un aumento de sueldo o ascenso
Principales revisiones
por AS•Oct 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
por 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
ProfessorElectrical and Computer Engineering
Acerca de 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.
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.
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2018 Coursera Inc. Todos los derechos reservados.
