Instructor: Dr. Saeid Belkasim
34
Peachtree Street
Suite 1448
Tel: (404) 651-0674
Fax:(404) 463-9912
Email:sbelkasim@cs.gsu.edu
Office Hours:4:00- 5:00 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, 2002
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.
Withdrawals: The last day for regular withdrawal is Friday, July 9, 2004.
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 a general plan for the course; deviations may be necessary.