53,195

### 您将获得的技能

Image ProcessingData CompressionMatlab

1

## 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. ...
3 个视频 （总计 67 分钟）, 5 个阅读材料, 1 个测验
3 个视频
Image and Video Signals 18分钟
Electromagnetic Spectrum 24分钟
5 个阅读材料
Welcome Class!10分钟
1 个练习
Homework 116分钟
2

## 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. ...
5 个视频 （总计 82 分钟）, 4 个阅读材料, 1 个测验
5 个视频
Complex Exponential Signals 18分钟
Linear Shift-Invariant Systems 15分钟
2D Convolution 15分钟
Filtering in the Spatial Domain 13分钟
4 个阅读材料
MATLAB10分钟
Use of MATLAB for Programming Assignments10分钟
In This Module... 10分钟
1 个练习
Homework 216分钟
3

## 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....
5 个视频 （总计 92 分钟）, 2 个阅读材料, 1 个测验
5 个视频
Sampling 22分钟
Discrete Fourier Transform 16分钟
Filtering in the Frequency Domain 13分钟
Change of Sampling Rate 14分钟
2 个阅读材料
In this Module...10分钟
1 个练习
Homework 316分钟
4

## 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...
5 个视频 （总计 119 分钟）, 2 个阅读材料, 1 个测验
5 个视频
Phase Correlation 9分钟
Block Matching33分钟
Fundamentals of Color Image Processing31分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 418分钟
5

## 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....
9 个视频 （总计 170 分钟）, 2 个阅读材料, 1 个测验
9 个视频
Point-wise Intensity Transformations 30分钟
Histogram Processing24分钟
Linear Noise Smoothing 27分钟
Non-linear Noise Smoothing 17分钟
Sharpening 10分钟
Homomorhpic Filtering 7分钟
Pseudo Coloring 12分钟
Video Enhancement 27分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 518分钟
6

## 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. ...
9 个视频 （总计 168 分钟）, 2 个阅读材料, 1 个测验
9 个视频
Image Restoration 15分钟
Matrix-Vector Notation for Images 24分钟
Inverse Filtering 13分钟
Constrained Least Squares 25分钟
Set-Theoretic Restoration Approaches 9分钟
Iterative Restoration Algorithms 13分钟
Iterative Least-Squares and Constrained Least-Squares 19分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 612分钟
7

## 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. ...
6 个视频 （总计 107 分钟）, 2 个阅读材料, 1 个测验
6 个视频
Wiener v.s. Constrained Least-Squares Restoration Filter 14分钟
Wiener Noise Smoothing Filter 15分钟
Maximum Likelihood and Maximum A Posteriori Estimation16分钟
Bayesian Restoration Algorithms17分钟
Other Restoration Applications18分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 714分钟
8

## 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. ...
8 个视频 （总计 155 分钟）, 2 个阅读材料, 1 个测验
8 个视频
Elements of Information Theory - Part I 17分钟
Elements of Information Theory - Part II 17分钟
Huffman Coding 22分钟
Run-Length Coding and Fax 19分钟
Arithmetic Coding 24分钟
Dictionary Techniques 18分钟
Predictive Coding 16分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 814分钟
9

## 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. ...
7 个视频 （总计 146 分钟）, 2 个阅读材料, 1 个测验
7 个视频
Vector Quantization 19分钟
Differential Pulse-Code Modulation 19分钟
Fractal Image Compression 18分钟
Transform Coding 24分钟
JPEG 17分钟
Subband Image Compression 14分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 914分钟
10

## 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....
6 个视频 （总计 135 分钟）, 2 个阅读材料, 1 个测验
6 个视频
On Video Compression Standards 18分钟
H.261, H.263, MPEG-1 and MPEG-2 28分钟
MPEG-4 19分钟
H.264 32分钟
H.265 16分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 1016分钟
11

## 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. ...
4 个视频 （总计 110 分钟）, 2 个阅读材料, 1 个测验
4 个视频
Methods Based on Intensity Similarity 18分钟
Watersheds and K-Means Algorithms 23分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 1120分钟
12

## 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. ...
5 个视频 （总计 132 分钟）, 2 个阅读材料, 1 个测验
5 个视频
Sparsity-Promoting Norms 30分钟
Matching Pursuit 13分钟
Smooth Reformulations 21分钟
Applications 33分钟
2 个阅读材料
In This Module...10分钟
1 个练习
Homework 1216分钟
4.6
211 个审阅

## 12%

### 热门审阅

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.

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 !!!

## 讲师

### Aggelos K. Katsaggelos

Joseph Cummings Professor
Department of Electrical Engineering and Computer Science

## 关于 西北大学

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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