Course Objectives

Visual information plays an important role in almost all areas of our life. Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.

This course’s teaching objectives are; 

l understanding and mastering the basic concepts and methodologies of digital image processing.

Course Requirements

This course will makes extensive use of MATLAB as an analysis, demonstration, and experiment tool, so students should teach themselves some knowledge and techniques about MATLAB.

Course Content

The course is an undergraduate-level introductory course to the fundamentals of digital image processing. It covers topics such as; 

l Intensity transformations for image enhancement

l Two-dimensional discrete Fourier transform

l Spatial and frequency domain linear image filtering

l Nonlinear image filtering

l Noise reduction

l Image restoration

l Point operations

l Color processing and image compression.

Credits: 2