Wavelet and Its Applications


Spring 2011

Instructor:

殷堂凱, Department of Computer Science and Information Engineering
Office hours: Monday 1:00-4:00 P.M.
Office:
管院 623
Phone: 07-5919515
Email: tkyin@nuk.edu.tw

http://www.csie.nuk.edu.tw/~tkyin/

 

TA Office Hours:

Time:

Lectures: Tuesday 5-7

Location:

Lectures: 法學院 106, Labs: 法學院 600

Objectives:

Introduce wavelets and their applications in image compression.

Lecture content:

1. Wavelet bases

2. Compression and sparse transform codes in bases

Lecture syllabus:    

 Lecture 

Date

Subject

Note

1

2/22

Orthogonal wavelet bases

2

3/1

Orthogonal wavelet bases

3

3/8

Lab 1

HW1 and Lab HW1 given

4

3/15

Classes of wavelet bases

 

5

3/22

Lab 2

 HW2 and Lab HW2 given

6

3/29

Wavelets and filter banks

 

7

4/5

Biorthogonal wavelet bases,

Spring break

8

4/12

Lab 3

 Lab HW3 given

9

4/19

Midterm exam

 

10

4/26

Wavelet bases on an interval

 

11

5/3

Separable wavelet bases

 

12

5/10

Lab 4

 HW3, Lab HW4, and Project given

13

5/17

Transform coding, distortion rate of quantization

 

14

5/24

High bit rate compression, sparse signal compression

 

15

5/31

Lab 5

 Lab HW5 given

16

6/7

Image-compression standards

 

17

6/14

Project demo, Lab

 Project due

18

6/21

Final exam 

 

Grade:

Textbook:

A Wavelet Tour of Signal Processing: The Sparse Way, Third Edition, by Stephane Mallat, Academic Press, 2009. , 全華代理

 

Reference:

 

Digital Image Processing, Third Edition, by Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, 2008. 歐亞圖書代理