EE462 Introduction to Image Processing 

Instructor : G. Bora Esmer
Office       : M4-105
Phone       : +90 (216)777 3668
E-mail      : bora [dot] esmer [at] marmara [dot] edu [dot] tr
                

Textbook  :
Digital Image Processing
by R.C. Gonzales and R.E. Woods
3rd Edition (2008), Pearson Prentice Hall 

Suplementary Readings:
Multidimensional Digital Signal Processing
by D.E. Dudgeon and R.M. Mersereau
(1983), Prentice Hall 

Fundamentals of Digital Image Processing

by A.K. Jain

(1989), Prentice-Hall

Grading    : Midterm (25%) + Final (40%) + HWs (10%) + Project (25%) 

Classroom: UZEM -Zoom

Objectives of The Course:

Course Outline: 

Honor Code:
All work done on the exams will be done on your own and pledged. Homework concepts and approaches may be
discussed with other students, but the work will be done by the individual. Group or copied solutions are not
permitted and negative full grade will be given for such work.

Tentative Schedule: 

Week : 1 

Introduction to digital image processing 

Week : 2 

Fundamentals of digital image 

Week : 3 

Basic -grey level- transforms

Week : 4 

Histogram processing

Week : 5 

Arithmetic and Logic Operations

Week : 6 

Basics of Spatial Filtering

Week : 7   

Smoothing Spatial Filters

Week : 8   

Combining Spatial Enhancement Methods 

Week : 9 

Midterm

Week : 10   

Introduction to Frequency Domain

Week : 11   

Review

Week : 12   

Smoothing Frequency-Domain Filters

Week : 13   

Sharpening Frequency-Domain Filters

Week : 14   

Noise Models

Week : 15   

Periodic Noise Degradation

Week : 16  

Inverse Filtering 

Week : 17  

Final Exam 

Last Modified: February 13, 2023
© G.B. Esmer