Syllabus(2009.02.16). - Image and Video Systems lab

breezebongAI and Robotics

Nov 6, 2013 (3 years and 11 months ago)

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1


Syllabus

(200
9

Spring Term)


1.
Title

Digital Image Processing

2. C
ode

ICE626

3.
Faculty

Yong Man Ro

4.
Credit

3

5.
Time

A
.m.
10
:30~
12
:00

on Tue
sday
, Thu
rsday


6. Lecture

s Overview



ICE626 Digital Image Processing

Digital image processing is a fund
amental course that

provides basic concept of processing
of
digital image
and visual
contents
. Students
suppose to

learn various
idea and
techniques for the
image processing, which could be applied to
practical
multimedia
system

in the Internet,
digital br
oadcasting and
computer vision

fields
. Students are required to practice the
algorithm
and
technique learned in the lecture through
consecutive

experiments
using
computer
simulations.
The
verification

of the algorithms is
designated
in the discussion sessi
on
of project

conference.
Students are required to

develop

image processing

algorithms or
to show the
demonstration of
the assignment

with a

programming language

like

C++
. General topics which
will cover in the lecture are as follows :

-

Human
v
isual
p
erc
eption,
d
igitizing image (
s
ampling and quantization
)

-

Image

processing fundamental (
e
nhancement and restoration
)

-

Image transformation and
c
ompression

-

Image
analysis

(
segmentation and recognition
)

7. Textbook

A.

Main book
:

Digital Image Processing, Rafa
el C. Gonzales, Richard E. Woods, Addison
-
Wesley Publishing Company,

2
nd

edition


B.

Reference books
:


1.

Digital Image Processing, K. R. Castleman, Prentice Hall, 1996

2.
Digital Pictures:Representation, Compression, and Standards,

3.
A. N. Netaravali and B. G
. Haskell, Second Edition, Plenum, 1995

4.
Two
-
Dimensional Signal and Image Processing, J. S. Lim, Prentice Hall PTR, 1990

5.
Fundamentals of Digital Image Processing, A. K. Jain, Pretice Hall

6.
Digital Picture Processing, A. Ronsenfeld and A. C. Kak,
Academic Press


2


8. Exam & Evaluation
(refer

to rules for teaching)

Division

Mid
-
Term

Quiz

Final
-

Term

Assignments

Attendance

Total

Homework

Programming

project

Credit

17 %

3 %

3
5

%

4
0
%

5 %

100%


10. Lecture schedule


Duration

Contents

Note

1~4

w
eek

1.
I
ntroduction, class logistics, elements of
digital image processing system

2.
H
uman visual perception

3.
S
ampling & quantization

4.
R
elationships between pixels

5.
I
mage transforms; Fourier transform

6. Fast Fourier transform

7. Other separable
image transform
s

8. K
-
L transform

-
Homework #1: sampling
and quantization

-
Homework #2: FFT and
other transform
programming

-
One or two Quiz

5~8

week

9. Image enhancement; point processing

10. Spatial filtering

11. Enhancement of frequency domain

12. Co
lor image processing

13. Image restoration; degradation model

14. Algebraic Approach

15. Inverse filtering

16. Wiener filter

-
Homework #3:
implementation of image
enhancement techniques

-
Homework #4:
implementation of image
restoration techniques

-
Mid
-
term

exam.

-
One or Two Quiz

9~12

week

17. Image compression; image redundancy

18. Image compression model

-
Home work #5: data
redundancy

-
Home work #6: lossless

3

19. Information theory

20. Error
-
free compression

21. Lossy compression

22. Compression standard

23. Applications: JPEG still
-
image coding;
overview

and lossy coding

-
One Quiz

13~15

week

24. Continue JPEG; parameter definition

25. Continue JPEG;

DCT, mode

26. Image
Analysis
: Image featuring

27. Segmentation I

28. Segmentation II

-
Home work #7: JP
EG
compression

-
Home work #8: image
segmentation

-

Final exam

Note:

The
above
schedule could be changed