ENEE 631: Digital Image Processing
To introduce the student to theoretical foundations and modern applicatons in Digital Image Processing. Main topics to be covered are image digitization, image representation, image compression, restoration and reconstruction. The student will be exposed to concepts such as Markov Random Fields, simulated annealing, multi-resolution processing as well as image compression standards.
ENEE 620, 624 or Permission of the Instructor
Random Processes, sampling, quantization, multi-rate signal processing, linear algebra.
A.K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1988
R. Chellappa, Collected papers in Digital Image Processing, IEEE Computer Society Press, 1992.
Grading Method:Homework 25%
Final Exam 25%