Lecturer: Moncef Gabbouj (Office TF 406)
Lectures: Term 1 (Periods I and II), Room TB 223, Fridays 12:15 – 14.00
Assistants: Dr. Esin Guldogan (Office TX xxx)
Exercises: Room TC 415
Group 1: Tuesdays 14.15-16.00, room TC 415
Group 2: Wednesdays 14.15-16.00, room TC 415
Group 3: Thursdays 14.15-16.00, room TC 415
First Lecture: Friday 3rd September 2010
First Exercise: Tuesday 7th September 2010 (Group 1), Wednesday 8th September 2010 (Group 2)
and Thursday 9th September 2010 (Group 3). Each student is assigned to ONE exercise group!
Exam Dates:
13 Dec 2010, 9.00 - 12.00, Make-up 24 Jan 2011, 9.00 - 12.00 and 7 March 2011, 9.00-12.00. Pre-registration for ALL exams is mandatory!
Description: Basic principles and concepts of image processing will be covered in the course.
Textbook:
Rafael C. Gonzales and Richard E. Woods, Digital Image Processing, Second Edition, Prentice Hall, 2002, Chapters 1-6.
Other references:
Digital Image Processing Using Matlab, R.C. Gonzalez, R.E. Woods and S.L. Eddins, Prentice Hall, 2004
The Image Processing Handbook, John C. Russ, Editor, CRC Press, 1999.
Introduction to Digital Image Processing with Matlab, A. McAndrew, Thomson, 2004.
Course Outline and Lecture Material
Chapter 1: Introduction to Digital
Image Processing
Chapter 2:
Digital Image Fundamentals
Digital Image Fundamentals
· Elements of Visual Perception
· Structure of the Human Eye
· Brightness Adaptation and Discrimination
· Weber Ratio
· Optical Illusions
· Light and the Electromagnetic Spectrum
· Image Sensing and Acquisition
· Sampling and Quantization
· Image sampling
· Foldover frequencies
· Sampling theorem
· Reconstruction and aliasing
· Quantization
· Uniform and MMSE quantizers
·
Image Representation and
Contouring Effects
Chapter 3: Intensity Transformations and Spatial Filtering