Nicholas Beser has been employed at the Applied Physics Laboratory since 1989 and is a member of the Principal Staff. Dr. Beser received his PhD from University of Pennsylvania in Computer Science and Systems Engineering. He has lead computer design projects for the General Electric Company which utilized much of the material covered in the class.
This course provides an introduction to the basic concepts and techniques used for the compression of digital images and video. Video compression requirements, algorithm components, and ISO Standard video processing algorithms are studied. Image compression components that are used in video compression methods are also identified. Since many of the capabilities of these standards are still being developed, and have not been integrated into computer and communication systems, the study of the component technologies will provide guidelines for evaluation and selection when the standards are approved. Topics to be covered include introduction to video systems, Fourier analysis of video signals, properties of the human visual system, motion estimation, basic video compression techniques, video communication standards, and error control in Video Communications. A mini-project is required.
525.427 Digital Signal Processing.
Video compression technology is now integrated in many aspects of the information processing systems. The goal of this class is not just to understand the underlying theory of compression and how it is used to create these standards, but also to provide a framework that the student may use to process video. Topics such as motion tracking, video enhancement and video manipulation and authentication will be studied.
This course is typically offered in the fall term at the APL Campus.
| Homework | 70% |
| Project (Proposal, Status Report, Report, Presentation) | 30% |
No Exam, All project submittals will be softcopy and posted on the class web site, Report can be PDF based, Microsoft Word or html. Supporting software should also be submitted.
Basic DSP background, Some programming will be required using MATLAB.
There will be six homework assignments, and one class project. Typically, the project is a solo effort, although at most two students can work a project after approval by instructor. The proposal is turned in early in the class, and the status report is used as the last chance to modify the proposal.
Textbook information for this course is available online through the MBS Direct Virtual Bookstore.
There are notes for this course.
http://webdev.apl.jhu.edu/~beser/525759/index.html
(Last Modified: 08-01-2008 at 4:06:41 PM)