S004106-数字图像与视频处理

发布者:沈如达发布时间:2018-04-23浏览次数:115

研究生课程开设申请表

 开课院(系、所):       信息科学与工程学院

 课程申请开设类型: 新开□     重开     更名□请在内打勾,下同

课程

名称

中文

数字图像与视频处理

英文

Digital Image and Video Processing

待分配课程编号

S004106

课程适用学位级别

博士


硕士

总学时

54

课内学时

54

学分

3

实践环节


用机小时


课程类别

公共基础     专业基础     专业必修     专业选修

开课院()

信息科学与工程学院

开课学期

春季

考核方式

A.笔试(开卷   闭卷)      B. 口试    

C.笔试与口试结合                 D. □其他

课程负责人

教师

姓名

王桥

职称

教授、博士生导师

e-mail

qiaowang@seu.edu.cn

网页地址


授课语言

汉语

课件地址


适用学科范围

一级

所属一级学科名称

信息与通信工程

实验(案例)个数

3

先修课程

数字信号处理

教学用书

教材名称

教材编者

出版社

出版年月

版次

主要教材

数字图像处理

王桥

科学出版社

20092

1

主要参考书

数字图像处理

冈萨雷斯

电子工业出版社

20079

2

机器视觉算法与应用

斯蒂格 等

清华大学出版社

200811

1

图像与视频处理手册(上、下)

A. Bovik

电子工业出版社

20063

2


一、课程介绍(含教学目标、教学要求等)300字以内)

本课程主要介绍图像与视频处理的基本原理、梳理主流算法,着重培养研究生在图像与视频处理专业及相关领域分析问题、建立模型的能力。本课程以图像复原几编码为主要线索,广泛涉及到图像的Fourier分析、边沿检测、代数与统计复原、偏微分方程及变分法模型、小波图像处理、图像编码、运动图像分析等内容。



二、教学大纲(含章节目录):(可附页)

本课程包含四个教学单元,基础知识单元(1-5章),代数与统计图像复原单元(6-7章),分析数学模型单元(8-10章),小波图像处理及编码应用单元(11-14章)。分章内容如下:


1章 视觉与图像感知

2章 图像模型

3章 图像处理中的线性代数

4章 图像的Fourier分析

5章 图像的边缘检测

6章 图像复原

7章 基于统计的图像复原

8章 多尺度空间与图像的各向同性扩散

9章 图像的各向异性扩散

10章 全变分图像处理

11章 小波变换

12章 提升格式

13章 图像数据压缩的信息论基础

14章 静止图像编码






三、教学周历

 周次

 教学内容

 教学方式

1

视觉与图像感知

 讲课

2

图像模型

 讲课

3

图像处理中的线性代数

 讲课

4

图像的Fourier分析

 讲课

5

图像的边缘检测

 讲课

6

 作业汇报与评讲

 讨论

7

图像复原

 讲课

8

统计图像复原

 讲课

9

 小组作业汇报与评讲

 讨论

10

多尺度空间与图像的各向同性扩散

 讲课

11

图像的各向异性扩散

 讲课

12

全变分图像处理

 讲课

13

 小组作业汇报与评讲

 讨论

14

小波变换

 讲课

15

提升格式与图像数据压缩

 讲课

16

JP2K、运动JP2K以及无线JP2K

 讲课

17

 视频分析专题

 讲课

18

 作业评讲

 讨论


四、主讲教师简介:

王桥,教授、博士生导师。信号与信息处理国家重点学科主任。19663月出生于安徽省安庆市。在武汉大学获得理学学士(1988)、硕士(1994)和博士(1997)学位,2001年在东南大学无线电工程系破格晋升为教授,2003年批准为博士生导师。20031月——20041月在美国哈佛大学任高级访问学者。主要从事信号处理、图像处理与传输及其相关的数据挖掘等课题研究。历年来主持国家自然科学基金等科研项目,并且合作承担了科技部863计划项目、江苏省产学研科技成果转化项目等,在包括《IEEE  Transactions on Signal Processing》、《Journal of Physics》、《Computers and Mathematics with Applications》、《Nano Letters》、《Frontiers in Bioscience》、《Image and Vision Computing》、《Computer Vision and Image Understanding》、《Wireless Personal Communications》等一系列国际著名期刊发表过学术论文。



五、任课教师信息(包括主讲教师):

 任课

 教师

 学科

 (专业)

 办公

 电话

 住宅

 电话

 手机

 电子邮件

 通讯地址

 邮政

 编码

 王桥

 信号与信息处理

83792536

86205037

13701462108

qiaowang@seu.edu.cn

 东南大学信息科学与工程学院

210096




Application Form For Opening Graduate Courses

School (Department/Institute)School of Information Science and Engineering

Course Type: New Open □   Reopen   Rename □Please tick in □, the same below

Course Name

Chinese

数字图像与视频处理

English

Digital Image and Video Processing

Course Number

S004106

Type of Degree

Ph. D


Master

Total Credit Hours

54

In Class Credit Hours

54

Credit

3

Practice


Computer-using Hours


Course Type

Public FundamentalMajor Fundamental    □Major Compulsory     □Major Elective

School (Department)

Info. Sci. and Engg.

Term

Spring

Examination

A. □PaperOpen-book   □ Closed-bookB. □Oral   

C.Paper-oral Combination                       D. □ Others

Chief

Lecturer

Name

WANG Qiao

Professional Title

Professor

E-mail

qiaowang@seu.edu.cn

Website


Teaching Language used in Course

Chinese

Teaching Material Website


Applicable Range of Discipline

1

Name of First-Class Discipline

Information and Communication Engineering

Number of Experiment

3

Preliminary Courses

Digital signal processing

Teaching Books

Textbook Title

Author

Publisher

Year of Publication

Edition Number

Main Textbook

Digital Image Processing

WANG Qiao

Science Press

Feb. 2009

1

Main Reference Books

Digital Image Processing

Gonzalez

Publishing House of Electronics Industry

Sep. 2007

2

Machine Vision Algorithms and Applications

Steger

Tsinghua Univ. Press

Nov. 2008

1

Handbook of Image and Video Processing

A. Bovik

Publishing House of Electronics Industry

March, 2006

2


  1. Course Introduction (including teaching goals and requirements) within 300 words:

This course focuses on the principles of image and video processing as well as the evolution of ideas in various algorithms, in order to increase the ability of students in analyzing and modeling in image processing and related fields. The contents spread around image restoration and coding, including Fourier analysis in image analysis, edge detection, algebraic and statistical restoration, partial differential equations based image processing, wavelet decomposition based image processing and coding, and motion image analysis.


  1. Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):

Chap 1.  Tutorial of vision

Chap 2.  Modeling images

Chap. 3.  Linear algebra in image processing

Chap 4.  Fourier analysis in image processing

Chap 5.  Edge detection

Chap 6.  Image restoration

Chap 7.  Statistical image restoration

Chap 8.  Multiscale spaces and diffusion models

Chap 9.  Anisotrophic diffusion models

Chap 10. Total variance models

Chap 11. Wavelet transform

Chap 12. Lifting scheme

Chap 13. Information theory in image coding

Chap 14. JP2K and related topics




  1. Teaching Schedule:


Week

Course Content

Teaching Method

1

Tutorial of vision

Lecture

2

Modeling images

Lecture

3

Linear algebra in image processing

Lecture

4

Fourier analysis

Lecture

5

Edge detection

Lecture

6

Oral presentation of projects

Seminar

7

Image restoration

Lecture

8

Statistical image restoration

Lecture

9

Oral presentation of projects

Seminar

10

Multiscale spaces and diffusion models

Lecture

11

Anisotrophic diffusion models

Lecture

12

Total variance models

Lecture

13

Oral presentation of projects

Seminar

14

Wavelet transform

Lecture

15

Lifting scheme

Lecture

16

JP2KMotion JP2Kand Wireless JP2K

Lecture

17

Selected topics on video processing

Lecture

18

Oral presentation of projects

Seminar

Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. The four and five items are preserved in Graduate School.


2. Course terms: Spring, Autumn , and Spring-Autumn term.  

3. The teaching languages for courses: Chinese, English or Chinese-English.

4. Applicable range of discipline: public, first-class discipline, second-class discipline, and third-class discipline.

5. Practice includes: experiment, investigation, research report, etc.

6. Teaching methods: lecture, seminar, practice, etc.

7. Examination for degree courses must be in paper.

8. Teaching material websites are those which have already been announced.

9. Brief introduction of chief lecturer should include: personal information (date of birth, gender, degree achieved, professional title), research direction, teaching and research achievements. (within 100-500 words)


  1. Brief Introduction of Chief lecturer:

WANG Qiao, born in Anqing in 1966. He received the BS, MS and D.Sc degrees in 1988, 1994 and 1997 respectively, all in Mathematics from Wuhan University, Wuhan, China. He was post-doc fellow in the Department of Radio Engineering of Southeast University in 1997, then joined the faculty in 1999 as associate

professor, and was promoted to full professor since 2001. He was a visiting scientist in School of Engineering and Applied Sciences of Harvard University from 2003 to 2004. Since 2007 he was the Director of Signal and Information Processing Laboratory, a national key discipline, in Southeast University, with direct responsibility for more than 30 faculty members. His current interests include both theoretical research and software/hardware system design in the fields of signal processing, image processing, wireless network, and mobile multimedia. He published a series of papers in international referred journals, such as Journal of Physics, IEEE Transactions on Signal Processing, Computers and Mathematics with Applications, Nano Letters, Frontiers in Bioscience, Image and Vision Computing, Computer Vision and Image Understanding, Wireless Personal Communications etc. He holds four patents in mobile TV and P2P stream media.



  1. Lecturer Information (include chief lecturer)


Lecturer

Discipline

(major)

Office

Phone Number

Home Phone Number

Mobile Phone Number

Email

Address

Postcode

WANG Qiao

Signal and Information Processing

83792536

86205037

13701462108

qiaowang@seu.edu.cn

Southeast University, School of Information Science and Engineering

210096


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