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Day

Date

Topic

Reading

1-1

M

Nov 26

Introductions and overview

Ch 1

Please do assigned readings before class


Image basics

1-2 T 27 Visual perception, image model Ch 2.1-2.2
1-3 R 29 Image acquisition issues: sampling, quantization, aliasing, noise Ch 2.3
2-1 M Dec 3 Image categories, image visualization  and measurement techniques  


Spatial-domain processing

2-2 T 4 Pixel relationships Ch 2.4
  Point-wise processing applications:
2-3 R 6 Binary image techniques, intensity transformations, pseudo-color coding Ch 4.1.1, 4.2.1, 4.6.3
3-1 M 10 Histogram equalization Ch 4.2.2
3-2 T 11

Subtraction-based techniques (trend removal, motion/difference detection), image averaging

Ch 4.2.3.4.2.4
3-3 R 13 Thresholding Ch 7.3.1-7.3.4
  Neigborhood processing applications:
4-1 M 17 Convolution filtering, lowpass filter Ch 4.3.1-4.3.2
4-2 T 18

Exam 1

 
4-3 R 20 Median, highpass filters Ch 4.3.2-4.3.3
5-1 M Jan 7 Edge detectors Ch 7.1
5-2 T 8 Matched filtering (template matching)  
  Geometric transformations:
5-3 R 10 Image geometry Ch 5.9
6-1 M 14 Image warping  
6-2 T 15

Hotelling transformation

Ch 3.6


Frequency-domain processing

6-3 R 17 1-D to 2-D discrete Fourier transformation (DFT) Ch 3.1-3.2
7-1 M 21 2-D DFT properties, practical issues Ch 3.3
  Applications:
7-2 T 22 Filtering techniques Ch 4.1.2, 4.4.1-4.4.2
7-3 R 24 Filtering applications Ch 4.4
8-1 M 28 Homomorphic filtering Ch 4.4.3
8-2 T 29 Inverse filtering Ch 5.1, 5.4


Image compression

8-3 R 31 Issues and definitions Ch 6.1, 6.2
  Lossless compression:
9-1 M Feb 4 Huffman, run-length coding Ch 6.4
9-2 T 5

Exam 2

 
9-3 R 7 Predictive coding Ch 5.3, 8.3
  Lossy compression:
10-1 M 11 Delta modulation Ch 6.5
10-2 T 12 Transform coding Ch 10.5-6
10-3 R 14 Applications  
   

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 ECE480/PH437: Introduction to Image Processing (W 2001-02)
Department of Electrical and Computer Engineering
Rose-Hulman Institute of Technology


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Last updated: 03/10/05.