Wavelet and Its Applications


Fall 2009

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: Monday 2-4

Location:

Lectures: 法學院 107, Labs: 法學院 414

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

9/14

Lab 1

2

9/21

Orthogonal wavelet bases, classes of wavelet bases

3

9/28

Lab 2

Lab HW1 given

4

10/5

Wavelets and filter banks, biorthogonal wavelet bases,

 HW1 given

5

10/12

Lab 3

 Lab HW2 given

6

10/19

Wavelet bases on an interval, separable wavelet bases

 HW2 given

7

10/26

Lab 4

Lab HW3 given

8

11/2

Linear approximations, nonlinear approximations

 

9

11/9

Midterm exam

 

10

11/16

Sparse image representations

 

11

11/23

Lab 5

 Lab HW4 given

12

11/30

Transform coding, distortion rate of quantization

 HW3 given

13

12/7

Lab 6

 Lab HW5 given

14

12/14

High bit rate compression, sparse signal compression

 HW4 given

15

12/21

Lab 7

 Lab HW6 given

16

12/28

Image-compression standards

 

17

1/4

Lab 8

 Lab HW7 given

18

1/11

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