Stevens Institute of Technology Department of Electrical and Computer Engineering Spring Semester 2004 CpE 462 Introduction to Image Processing and Coding

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Stevens Institute of Technology

Department of Electrical and Computer Engineering


Spring Semester 2004


CpE 462 Introduction to Image Processing and Coding


Instructor:

Dr. Hong Man Office: 201 ECE (Burchard)


Phon
e: (201) 216
-
5038 Fax: (201) 216
-
8246


Email: hman@stevens
-
tech.edu


Course Web Site:

https://webct.stevens
-
tech.edu/


Class Hours:

Thursday, 6:15


8:45 PM


Office Hours:

Thursday

2:00
-

6:00 PM


Course Text:

Digital Image Proc
essing, 2
nd

edition, by Rafael C. Gonzalez, Richard E. Woods,

Prentice Hall 2002; ISBN: 020118
0758


Reference Text:

“DSP First, a Multimedia Approach”, J.H. McClellan, R.W. Schafer

and M.A. Yoder, Prentice Hall 1999, ISBN 0
-
13
-
243171
-
8


Course Grading:



Your grade of this course will be determined on the following distribution:



Homework: 20%


Mid
-
term Exam: 20%


Term Project: 30%


Final Exam: 30%


Homework:


Homework will be assigned periodically. All proble
m sets are expected to be completed
according to the instructions, and they are usually due in one week. Discussion of homework
problems among students is permitted, but each student must finish his/her homework
independently. Homework submissions are expe
cted to be in a neat and complete form, showing
all major steps towards the solutions.


Term Project:



The term project is to provide you an opportunity to investigate a specific topic in the area of
image processing and coding. The projects are to be

conducted in groups, each with 3~4 students.
A list of suggested project topics will be hand out in early February. Each group will select its
topic, and some imaginations are encouraged. Each term project will be concluded with a 5
-
page
report which desc
ribes the nature of your work, and a 10
-
15 min. computer demo to show your
results.


Class Dates:


01
-
22, 01
-
29, 02
-
05, 02
-
12, 02
-
19, 02
-
26, 03
-
04 (mid
-
term). 03
-
11, 03
-
25, 04
-
01, 04
-
8, 04
-
15,
04
-
21, 04
-
29

(project presentation).


Topics:


1.

Introduction to
Signal and Image Processing (lecture 1)


2.

Digital Signal Processing Fundamentals (lecture 2~4)



Signals and systems



Spectrum representation and Fourier Transform



Sampling theory



FIR and IIR filtering


3.

Two
-
Dimensional DSP (lecture 5)



2
-
D signals and systems



2
-
D filters and filtering



2
-
D Discrete Fourier Transform



2
-
D Discrete Cosine Transform


4.

Image Perception and Representation (lecture 6)



Human visual system



Light, brightness, contrast



Color modeling and representation


5.

Image Enhancement (lecture 7~8)



Arithm
etic operations



Intensity transforms



Histogram and histogram equalization



Smoothing and sharpening through 2
-
D filtering


6.

Image Analysis (lecture 9)



Point, line and edge detection



Segmentation and thresholding


7.

Geometric Processing (lecture 10)



Interpolati
on and down
-
scaling



Rotation


8.

Digital Halftoning (lecture 10)



Patterning



Dithering



Error Diffusion


9.

Image Coding (lecture 11 ~ 12)



Quantization



Entropy coding



Compression standards