ESE
558 DIGITAL
IMAGE PROCESSING
Spring
2009, SUNY
at Stony Brook, Instructor: Prof. Murali Subbarao
Time: Wed.
Catalog description:
It covers
digital
image fundamentals, mathematical preliminaries of
two-dimensional
systems,
image transforms, human perception, color basics,
sampling and
quantization, compression techniques, image enhancement,
image
restoration, image
reconstruction from projections, and binary image
processing.
Text book:
1. Digital Image Processing,
R. C. Gonzalez and R. E. Woods, Third Edition,
Pearson Prentice-Hall, ISBN
0-13-168728-x,
2008.
Second Edition of year 2002 is also
acceptable,
but Third Edition is preferred.
Reference Material:
1.
http://homepages.inf.ed.ac.uk/rbf/CVonline/
2. Digital Picture Processing,
Vol. 1,
A.
Rosenfeld and A. C. Kak, Academic Press,1982.
3. Journal Papers, Handouts, Web pages.
Syllabus:
1. Introduction
2. Digital Image Fundamentals
3. Image Enhancement: Spatial domain techniques
4. Image Enhancement: Fourier domain techniques
5. Sampling and quantization
6. Image Restoration
7. Color Image
Processing
8. Image Compression
9. Image reconstruction
10. Binary Image Processing
11. Advanced Topics:
Shift-Variant Image Filtering and Restoration
GRADING
Attending lectures is essential for doing well on written exams.
Lectures will specifically prepare students for the exams.
Mid-term1: 30%
Mid-term2: 30%
Final exam: 20%
Small Project: 10%
Short Written Report: (5 to 10 pages): 10%
Knowledge of C/C++ programming language is
required for
completing the project. Project is not difficult and requires
about 10
hours of effort.
Grades
are
assigned based on absolute percentage of total marks as below.
This policy is subject change.
F:
0 to 49,
D: 50 to 54, D+: 55-59,
C- : 60 to 62, C: 63-65, C+:66-69,
B- : 70 to 72, B: 73-75, B+:76-79,
A- : 80-89, A: 91-100.
Office Hours:
Tuesday,
Thursday
Contact:
Prof. Murali Subbarao
murali at ece sunysb dot edu