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Habilidades que você terá

Image ProcessingData CompressionMatlab

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Prazos flexíveis

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Aprox. 18 horas para completar

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Introduction to Image and Video Processing

In this module we look at images and videos as 2-dimensional (2D) and 3-dimensional (3D) signals, and discuss their analog/digital dichotomy. We will also see how the characteristics of an image changes depending on its placement over the electromagnetic spectrum, and how this knowledge can be leveraged in several applications.

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3 vídeos ((Total 67 mín.)), 5 leituras, 1 teste
3 videos
Image and Video Signals 18min
Electromagnetic Spectrum 24min
5 leituras
Welcome Class!10min
Grading Policy10min
Further Reading10min
About Us10min
Download the slides10min
1 exercício prático
Homework 116min
Semana
2
2 horas para concluir

Signals and Systems

In this module we introduce the fundamentals of 2D signals and systems. Topics include complex exponential signals, linear space-invariant systems, 2D convolution, and filtering in the spatial domain.

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5 vídeos ((Total 82 mín.)), 4 leituras, 1 teste
5 videos
Complex Exponential Signals 18min
Linear Shift-Invariant Systems 15min
2D Convolution 15min
Filtering in the Spatial Domain 13min
4 leituras
MATLAB10min
Use of MATLAB for Programming Assignments10min
In This Module... 10min
Download the slides10min
1 exercício prático
Homework 216min
Semana
3
2 horas para concluir

Fourier Transform and Sampling

In this module we look at 2D signals in the frequency domain. Topics include: 2D Fourier transform, sampling, discrete Fourier transform, and filtering in the frequency domain.

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5 vídeos ((Total 92 mín.)), 2 leituras, 1 teste
5 videos
Sampling 22min
Discrete Fourier Transform 16min
Filtering in the Frequency Domain 13min
Change of Sampling Rate 14min
2 leituras
In this Module...10min
Download the slides10min
1 exercício prático
Homework 316min
Semana
4
3 horas para concluir

Motion Estimation

In this module we cover two important topics, motion estimation and color representation and processing. Topics include: applications of motion estimation, phase correlation, block matching, spatio-temporal gradient methods, and fundamentals of color image processing

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5 vídeos ((Total 119 mín.)), 2 leituras, 1 teste
5 videos
Phase Correlation 9min
Block Matching33min
Spatio-Temporal Gradient Methods 23min
Fundamentals of Color Image Processing31min
2 leituras
In This Module...10min
Download the slides10min
1 exercício prático
Homework 418min
Semana
5
3 horas para concluir

Image Enhancement

In this module we cover the important topic of image and video enhancement, i.e., the problem of improving the appearance or usefulness of an image or video. Topics include: point-wise intensity transformation, histogram processing, linear and non-linear noise smoothing, sharpening, homomorphic filtering, pseudo-coloring, and video enhancement.

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9 vídeos ((Total 170 mín.)), 2 leituras, 1 teste
9 videos
Point-wise Intensity Transformations 30min
Histogram Processing24min
Linear Noise Smoothing 27min
Non-linear Noise Smoothing 17min
Sharpening 10min
Homomorhpic Filtering 7min
Pseudo Coloring 12min
Video Enhancement 27min
2 leituras
In This Module...10min
Download the slides10min
1 exercício prático
Homework 518min
Semana
6
3 horas para concluir

Image Recovery: Part 1

In this module we study the problem of image and video recovery. Topics include: introduction to image and video recovery, image restoration, matrix-vector notation for images, inverse filtering, constrained least squares (CLS), set-theoretic restoration approaches, iterative restoration algorithms, and spatially adaptive algorithms.

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9 vídeos ((Total 168 mín.)), 2 leituras, 1 teste
9 videos
Image Restoration 15min
Matrix-Vector Notation for Images 24min
Inverse Filtering 13min
Constrained Least Squares 25min
Set-Theoretic Restoration Approaches 9min
Iterative Restoration Algorithms 13min
Iterative Least-Squares and Constrained Least-Squares 19min
Spatially Adaptive Algorithms20min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 612min
Semana
7
2 horas para concluir

Image Recovery : Part 2

In this module we look at the problem of image and video recovery from a stochastic perspective. Topics include: Wiener restoration filter, Wiener noise smoothing filter, maximum likelihood and maximum a posteriori estimation, and Bayesian restoration algorithms.

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6 vídeos ((Total 107 mín.)), 2 leituras, 1 teste
6 videos
Wiener v.s. Constrained Least-Squares Restoration Filter 14min
Wiener Noise Smoothing Filter 15min
Maximum Likelihood and Maximum A Posteriori Estimation16min
Bayesian Restoration Algorithms17min
Other Restoration Applications18min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 714min
Semana
8
3 horas para concluir

Lossless Compression

In this module we introduce the problem of image and video compression with a focus on lossless compression. Topics include: elements of information theory, Huffman coding, run-length coding and fax, arithmetic coding, dictionary techniques, and predictive coding.

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8 vídeos ((Total 155 mín.)), 2 leituras, 1 teste
8 videos
Elements of Information Theory - Part I 17min
Elements of Information Theory - Part II 17min
Huffman Coding 22min
Run-Length Coding and Fax 19min
Arithmetic Coding 24min
Dictionary Techniques 18min
Predictive Coding 16min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 814min
Semana
9
3 horas para concluir

Image Compression

In this module we cover fundamental approaches towards lossy image compression. Topics include: scalar and vector quantization, differential pulse-code modulation, fractal image compression, transform coding, JPEG, and subband image compression.

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7 vídeos ((Total 146 mín.)), 2 leituras, 1 teste
7 videos
Vector Quantization 19min
Differential Pulse-Code Modulation 19min
Fractal Image Compression 18min
Transform Coding 24min
JPEG 17min
Subband Image Compression 14min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 914min
Semana
10
3 horas para concluir

Video Compression

In this module we discus video compression with an emphasis on motion-compensated hybrid video encoding and video compression standards including H.261, H.263, H.264, H.265, MPEG-1, MPEG-2, and MPEG-4.

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6 vídeos ((Total 135 mín.)), 2 leituras, 1 teste
6 videos
On Video Compression Standards 18min
H.261, H.263, MPEG-1 and MPEG-2 28min
MPEG-4 19min
H.264 32min
H.265 16min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 1016min
Semana
11
3 horas para concluir

Image and Video Segmentation

In this module we introduce the problem of image and video segmentation, and discuss various approaches for performing segmentation including methods based on intensity discontinuity and intensity similarity, watersheds and K-means algorithms, and other advanced methods.

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4 vídeos ((Total 110 mín.)), 2 leituras, 1 teste
4 videos
Methods Based on Intensity Similarity 18min
Watersheds and K-Means Algorithms 23min
Advanced Methods 18min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 1120min
Semana
12
3 horas para concluir

Sparsity

In this module we introduce the notion of sparsity and discuss how this concept is being applied in image and video processing. Topics include: sparsity-promoting norms, matching pursuit algorithm, smooth reformulations, and an overview of the applications.

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5 vídeos ((Total 132 mín.)), 2 leituras, 1 teste
5 videos
Sparsity-Promoting Norms 30min
Matching Pursuit 13min
Smooth Reformulations 21min
Applications 33min
2 leituras
In This Module...10min
Download the Slides10min
1 exercício prático
Homework 1216min
4.6
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Principais avaliações do Os Fundamentos do Processamento Digital de Imagem e Vídeo

por VTMar 21st 2019

AMAZING COURSE.\n\nTAKES YOU THROUGH EVERY TOPIC IN IMAGE PROCESSING.\n\nTHIS COURSE GREATLY HELPED ME WITH UNIVERSITY STUDIES AS WELL,\n\nTHANK YOU NORTHWESTERN UNIVERSITY AND PROFESSOR AGGELOS K.

por HSOct 7th 2018

This course is much simpler and easier to understand for those who wanna get and set their goals towards the image engineering field. Really enjoy much doing this course. THank you everyone !!!

Instrutores

Avatar

Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

Sobre Universidade Northwestern

Northwestern University is a private research and teaching university with campuses in Evanston and Chicago, Illinois, and Doha, Qatar. Northwestern combines innovative teaching and pioneering research in a highly collaborative environment that transcends traditional academic boundaries. ...

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