Spring 2012
Instructor:
殷堂凱, Department
of Computer Science and Information Engineering
Office hours: Monday 1:004:00 P.M.
Office: 管院 623
Phone: 075919515
Email: tkyin@nuk.edu.tw
http://www.csie.nuk.edu.tw/~tkyin/
TA Office Hours:
Time:
Lectures: Monday 24
Location:
Lectures: 綜合大樓 B104, Labs: 綜合大樓206
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 
2/18 
Orthogonal wavelet bases 

2 
2/25 
Classes of wavelet bases 

3 
3/4 
Lab 1 
HW1 and Lab HW1 given 
4 
3/11 
Wavelets and filter banks 

5 
3/18 
Lab 2 
HW2 and Lab HW2 given 
6 
3/25 
Biorthogonal wavelet bases, 

7 
4/1 
Spring Break. No class. 

8 
4/8 
Lab 3 
Lab HW3 given 
9 
4/15 
Midterm exam 

10 
4/22 
Wavelet bases on an interval 

11 
4/29 
Separable wavelet bases 

12 
5/6 
Lab 4 
HW3, Lab HW4, and Project given 
13 
5/13 
Transform coding, distortion rate of quantization 

14 
5/20 
High bit rate compression, sparse signal compression 

15 
5/27 
Lab 5 
HW4, Lab HW5 given 
16 
6/3 
Imagecompression standards 

17 
6/10 
Project demo, Lab 
Project due 
18 
6/17 
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, 2010. 歐亞圖書代理