ECE 468/568: Digital Image Processing



Instructor:
   Prof. Sinisa Todorovic
   sinisa at eecs oregonstate edu
   2107 Kelley Engineering Center

Classes:
   MWF 3-3:50pm, KEC 1003

Office hours:
   Mon 4-5pm, or by appointment

HOME
ANNOUNCEMENTS
ASSIGNMENTS
LINKS
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LECTURE NOTES:


Weeks
Topics and Recommended Literature Notes
09/30-10/04
Introduction: Administrative stuff and course overview;
Overview of fundamental problems and popular applications (Textbook: 1);
Image acquisition and representation (Textbook: 2.3, 2.4.2);
Image sampling and quantization (Textbook: 2.4);
Image interpolation (Textbook: 2.4.4);
Intensity transformations (Textbook: 3.2);
Histogram equalization (Textbook: 3.3.1);

Matlab tutorial;
Image Processing Toolbox for Matlab;
Homework 1
Lecture 1

Lecture 2

Lecture 3

Lecture 4
10/07-10/11 Review of probability and statistics (by R. Gonzalez and R. Woods);

Histogram specification (Textbook: 3.3.2);
Spatial convolution and correlation (Textbook: 3.4.2);
Smoothing spatial filters (Textbook: 3.5);
Sharpening spatial filters (Textbook: 3.5);

Homework 2
Lecture 5

Lecture 6

Lecture 7

Lecture 8
10/14-10/18

Detection of interest points;
Point descriptors;
MATLAB code for computing SIFT;
Lecture 7
10/21-10/25
Point descriptors;
Hungarian algorithm;

Homework 3

Lecture 8
10/28-11/01 Discrete Fourier Transform of functions of one continuous variable (Textbook: 4.2-4.4);
2D Discrete Fourier Transform (Textbook: 4.5-4.6);
Frequency-domain image filtering (Textbook: 4.7);
Smoothing, sharpening, unsharp masking in the frequency domain (Textbook: 4.8, 4.9);
Preparation for Exam 1;

Homework 4
Lecture 10

Lecture 11
11/04-11/08
Exam 1;


11/11-11/15
Image restoration (Textbook: 5.1);
Noise models (Textbook: 5.2);
Restoration by spatial filtering (Textbook: 5.3);
Degradation models (Textbook: 5.6);
Noise reduction by frequency-domain filtering (Textbook: 5.4);

Homework 5
Lecture 12

Lecture 13

Lecture 14
11/18-11/22 Computed Tomography (Textbook: 5.11.2),
Radon transform (Textbook: 5.11.3);
Fourier-slice theorem (Textbook: 5.11.4);
Lecture 15

Lecture 16
11/25-11/27 Color (Textbook: 6);
Preparation for Exam 2;

Homework 6
Lecture 17
12/02 Exam 2