ECE 468: Digital Image Processing



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

Classes:
   MWF 3-3:50pm, STAG 329

Office hours:
   Tue 1-2pm, or by appointment

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LECTURE NOTES:


Date Topics and Recommended Literature Notes
09/28 Canceled!

09/30 Canceled!

10/02 Canceled!

10/05 Introduction: Administrative stuff; What is digital image processing; Overview of fundamental problems and popular applications (Textbook: 1); Course overview; Image acquisition and representation (Textbook: 2.3, 2.4.2);
Lecture 1
10/07 Image sampling and quantization (Textbook: 2.4); Image interpolation (Textbook: 2.4.4); Basic spatial relationships between pixels (Textbook: 2.5); Spatial operations on images (Textbook: 2.6.5); Matlab tutorial; Homework 1 
Lecture 2
10/09 Intensity transformations (Textbook: 3.2);
Lecture 3
10/12 Homework 1 due; Histogram equalization (Textbook: 3.3.1); Histogram specification (Textbook: 3.3.2); Spatial convolution and correlation (Textbook: 3.4.2);  Homework 2
Lecture 4
10/14
Smoothing and sharpening spatial filters (Textbook: 3.5); Review of probability and statistics (by R. Gonzalez and R. Woods); Probability review (by R. Berry); Matlab tutorial Lecture 5
10/16 Review of the Fourier Transform and Discrete Fourier Transform of functions of one continuous variable (Textbook: 4.2-4.4);
Lecture 6
10/19
Homework 2 due; Review of the Fourier Transform and Discrete Fourier Transform; Homework 3 Lecture 7
10/21 2D Continuous Fourier Transform (Textbook: 4.5); 2D Discrete Fourier Transform (Textbook: 4.6); Frequency-domain image filtering (Textbook: 4.7);
Lecture 8
10/23 Image smoothing and sharpening in the frequency domain, unsharp masking (Textbook: 4.8, 4.9)
Lecture 9
10/26 Homework 3 due; Preparation for Exam 1; Homework 4 Lecture 10
10/28 Exam 1
Lecture 11
10/30 Review of Exam 1; Image restoration (Textbook: 5.1);  Lecture 12
11/02 Homework 4 due; Noise models (Textbook: 5.2); Restoration by spatial filtering (Textbook: 5.3);  Homework 5 Lecture 13
11/04
Noise reduction by frequency-domain filtering (Textbook: 5.4);  Lecture 14
11/06
Image reconstruction from projections (Textbook: 5.11); Radon transfrom (Textbook: 5.11.3)
Lecture 15
11/09
Homework 5 due; Fourier-slice theorem (Textbook: 5.11.4); Homework 6 Lecture 16
11/11
Multiresolution image processing (Textbook: 7.1); Image pyramids (Textbook: 7.1.1);  Lecture 17
11/13 Sub-band decomposition (Textbook: 7.1.2); Haar transform (Textbook: 7.1.3); Lecture 18
11/16 Homework 6 due; Preparation for Exam 2; Lecture 19
11/18 Exam 2 Lecture 20
11/20 Exam 2 review
Lecture 21
11/23 Multiresolution expansions (Textbook: 7.2); Wavelet functions (Textbook: 7.2.3);  Homework 7 Lecture 22
11/25 Wavelet transform in 1D (Textbook: 7.3); Lecture 23
11/27 Discrete Wavelet Transform (Textbook: 7.3.2); Lecture 24
11/30 Homework 7 due; 2D Wavelet transform (Textbook: 7.5); Lecture 25
12/02 Color models (Textbook: 6.2); Color transformations (Textbook: 6.5) Lecture 26
12/04 Preparation for the final exam Lecture 27
12/07 Final exam 12-1:40pm