ECE 533 Digital Image ProcessingOutlineCourse DescriptionSlide 4Slide 5Course OutlineProjectCourse conductCourse PlanECE 533 Digital Image Processing(c) 2002-2004 by Yu Hen HuOutline•Course homepage:–http://www.cae.wisc.edu/~ece533/ •Course descriptions•Outlines•Course conduct(c) 2002-2004 by Yu Hen HuCourse Description•Goals:–Understand 2D signal processing theory–Familiar with basic image processing techniques: filtering, restoration, coding–Exposure to some advanced topics: segmentation, etc.•Pre-requisites–linear signals and systems, –1-D Fourier Transform, –basic linear algebra, –basic probability theory and –basic programming techniques. –Knowledge of ECE431 Digital Signal Processing is desirable.(c) 2002-2004 by Yu Hen HuCourse Description•Optional Discussion–Used for teaching Matlab image processing box and perhaps other software–Schedule will be announced separately•Office hours –TBA•Textbook:–Digital Image Processing R. C. Gonzalez and R. E. Woods Addison-Wesley Pub. Co., New York, (2nd edition) 2002–Text book website: http://www.imageprocessingbook.com/(c) 2002-2004 by Yu Hen HuCourse Description•Computer Usage:–Mainly using Matlab with image processing toolbox.–Project may require use of scanner or digital camera. If so, instruction of proper usage will be provided. •Grading policy:–15 % Five to six homework assignments –40 % Two Midterm examinations –30 % Final Examination –15 % Project(c) 2002-2004 by Yu Hen HuCourse Outline•Tentative plan, will be updated from time to time.•Exam Dates (firm): –9/30, R, in-class, midterm #1–10/28, R, in-class, midterm #2–12/17, F, 2:45-4:45 pm, final exam.–All in 1610 Engr. Hall•Homeworks due in class.•Some homework problems may require posting on your own web page. So each student should prepare a web page on his/her CAE unix account.(c) 2002-2004 by Yu Hen HuProject•Team project: –2-person team work on a project.–3-person or more in a team would require instructor approval•A list of potential project topics will be suggested. Students may also propose their own project topics subject to approval.•A written project proposal and report must be submitted.•Power-point project presentation is also required. •Project is graded on:–Difficulty/complexity–Originality/creativity–Completeness, presentation, etc.(c) 2002-2004 by Yu Hen HuCourse conduct•You must do the homework on your own! •Copying other’s homework or exam papers is a serious offense of academic misconduct and will be pursued according to university rules –http://www.wisc.edu/students/conduct.htm•If you have conflict with exam hours, inform your instructor at least two weeks before the exam to discuss possible alternatives.•Final examination date and time can not be changed unless direct conflict with other finals.(c) 2002-2004 by Yu Hen HuCourse Plan•Introduction–Motivation, –Review of mathematics and theories•Human visual system–Vision–Color •Image enhancement–Point based–Filtering–transformation•Image restoration–Degradation model–Inverse filtering–Constrained optimization•Image coding–Transform coding–Video coding•Image analysis–Edge
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