MS004106-數字圖像與視頻處理

研究生課程開設申請表

 開課院（系、所）：       beat365正版唯一

 課程申請開設類型： 新開□     重開√     更名□（請在□内打勾，下同）

一、課程介紹（含教學目标、教學要求等）（300字以内）

本課程主要介紹圖像與視頻處理的基本原理、梳理主流算法，着重培養研究生在圖像與視頻處理專業及相關領域分析問題、建立模型的能力。本課程以圖像複原幾編碼為主要線索，廣泛涉及到圖像的Fourier分析、邊沿檢測、代數與統計複原、偏微分方程及變分法模型、小波圖像處理、圖像編碼、運動圖像分析等内容。

二、教學大綱（含章節目錄）：（可附頁）

本課程包含四個教學單元，基礎知識單元（1-5章），代數與統計圖像複原單元（6-7章），分析數學模型單元（8-10章），小波圖像處理及編碼應用單元（11-14章）。分章内容如下：

第1章 視覺與圖像感知

第2章 圖像模型

第3章 圖像處理中的線性代數

第4章 圖像的Fourier分析

第5章 圖像的邊緣檢測

第6章 圖像複原

第7章 基于統計的圖像複原

第8章 多尺度空間與圖像的各向同性擴散

第9章 圖像的各向異性擴散

第10章 全變分圖像處理

第11章 小波變換

第12章 提升格式

第13章 圖像數據壓縮的信息論基礎

第14章 靜止圖像編碼

三、教學周曆

四、主講教師簡介：

王橋，教授、博士生導師。信号與信息處理國家重點學科主任。1966年3月出生于安徽省安慶市。在武漢大學獲得理學學士（1988）、碩士（1994）和博士（1997）學位，2001年在beat365正版唯一無線電工程系破格晉升為教授，2003年批準為博士生導師。2003年1月——2004年1月在美國哈佛大學任高級訪問學者。主要從事信号處理、圖像處理與傳輸及其相關的數據挖掘等課題研究。曆年來主持國家自然科學基金等科研項目，并且合作承擔了科技部863計劃項目、江蘇省産學研科技成果轉化項目等，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》等一系列國際著名期刊發表過學術論文。

五、任課教師信息（包括主講教師）：

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）

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.

2. 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

3. Teaching Schedule:

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)

4. 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.

5. Lecturer Information (include chief lecturer)