CSc 8260 Advanced Digital Image
Processing Fall 2009
(Computer Number 86366) MW 5:30 - 7:10 pm
Room: Arts & Humanities 311
Instructor: Dr.
Saeid Belkasim
34
Peachtree Street
Suite 1448
Tel: (404) 413-5728
Email:sbelkasim@cs.gsu.edu
Office Hours: 12:00- 1:00 p.m. TT, others by appointment.
Text:
A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.
Reference: R. C. Gonzalez and R. E.
Woods, Digital Image Processing, Prentice Hall, 2008
Course
Content:
This
course covers the advanced research topics of image processing which include
image digitization,
description, enhancement, segmentation, image
transforms, filtering, restoration, coding and retrieval.
Students
are encouraged to collect and evaluate recently published articles in the above
general areas.
The
following topics are covered:
Image Perception
Two dimensional Sampling Theory
Image Quantization
Two Dimensional Orthogonal and Unitary Transforms
Properties of Unitary Transforms
Discrete Fourier Transform, an overview
Discrete Cosine Transform
Discrete
Sine Transform
The Haar Transform
The KL Transform
The Wavelet Transform
Image Representation and Modeling
Discrete
Random Fields
Spatial Operations
Generalized Filtering
Multispectral and Color Image Enhancements
Deconvolution
Applications of Neural and Cellular neural networks in image
processing.
Grading:
Deliverable
Weight
Final
Project
40%
Seminars
30%
Homework
Assignments 30%
Attendance:
Attendance is vital to
success in this class. Roll will be taken during class.
Prerequisites: CSc 6260 or equivalent
Other policy:
·
Make-up’s or missed deadlines must be coordinated prior, and are allowed
only at the discretion of the instructor.
·
All material submitted for grade must be the student’s own work.
·
Collaboration is allowed prior to preparation of actual material that is
submitted for grade.
·
This course syllabus outlines a general plan for the course; deviations may be
necessary.