Course Description:
This course introduces the fundamentals of image and video processing, including color image capture and representation, image/video compression, video networking, selected advanced image/video processing techniques, and communication methods. Students will learn to implement algorithms chosen in Python (Matlab). A term project will be required. Relevant publications will be provided as references. Students would need to acquire both classical knowledge and cutting-edge techniques through this course.
Prerequisites:
Probability and Random Process, Signal and Systems, Digital Image Processing
Instructors:
Professor Zhan Ma, Room 332B, Email: mazhan@nju.edu.cn.
Professor Xu Zhang, Room 554A, Email: xzhang17@nju.edu.cn
Teaching Assistants:
Mr. Jiankai Huang,
Course Schedule:
Thurs. 1-2 仙II 303 (Week #1- #8), 电子楼311 (Week #9 - #16)
Office Hours:
Every Thursday before and After Class (or by appointment)
Text Book/References:
Y. Wang, J. Ostermann, and Y.Q.Zhang, Video Processing and Communications. Prentice Hall, 2002. 'Link' (Reference for image and video coding, motion estimation, and stereo)
Richard Szeliski, Computer Vision: Algorithms and Applications. (Available online:'Link') (Cover most of the material, except sparsity-based image processing and image and video coding
Grade Policy:
Final: 80%, Class：20%
Syllabus and Course Material:
Week #1 08.28 视频通信简介Introduction to the video communication [pdf]