ESE
558 DIGITAL
IMAGE PROCESSING
Spring
2012, ECE, Stony
Brook University, Prof. Murali Subbarao
Credits:
3
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 Published Papers, Patents, Handouts, online resources.
Contact info:
Prof.
Murali
Subbarao, murali@ece.sunysb.edu
Office Hours: Tue. and Thu.:
10 a.m to 11.00 a.m. and 1 pm
to 2 pm.
Place:
Room 233, Light Engg. Bldg.
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 Reconstruction from Projections:
a. X-ray computed tomography (CT)
b. SPECT/PET (Single-Photon/Positron Emission CT)
c. MRI (Magnetic Resonance Imaging)
d.
MEG/MCD(Magnetoencephalography/Magnetocardiography)
7. Image Restoration and Shift-Variant Image Filtering and Restoration.
8. Color Image Processing
9.
Image
Compression
This year the theme
and emphasis will be on medical imaging, specifically SPECT/PET, MRI,
and MEG.
GRADING
Attending lectures is essential for doing well on written exams.
Lectures will
specifically prepare students for the exams. There will be two tests,
each
covering roughly half of the material in the course.
Test 1 : 35% (2 hrs) (50% open book, on March 2, 2012)
Test 2 : 35% (2 hrs) (50% open book, on April 20, 2012)
Project: 15% (Matlab/Octave/Mathematica, about 12 hours effort, Due March 23, 2012)
Research Project: 15 %
(reading papers/patents, evaluating technology, writing a 10 page
report by a group of 4 students, and a 15 minute group
presentation, on May 4, 2012)
Matlab/Mathematica/Octave programming language should be learned for completing the project. Project is not difficult and requires about 12 hours of effort.
Grades are assigned based on absolute percentage
of total
marks as below.
This policy is subject change.
A
: 91—100 ,
A- : 86—90 , B+ : 81—85, B : 76—80, B- : 71--75
C+ : 68—70, C : 64—67, C- : 61—63, D+ : 56—60, D :
51—55, F :
0--50