• Course Code :
  DM432
• Level :
  Undergraduate
• Course Hours :
  3.00 Hours
• Department :
  Digital Media Technology

Instructor information :

• Title:Professor
• Name: NEVEEN IBRAHIM MOHAMED GHALI
• Office hours:1-Hours


• Title:Assistant Lecturer
• Name: MAHMOUD MAGDY MOHAMED ABDO
• Office hours:2-Hours

•Define the fundamental techniques, algorithms and tools used for acquiring, processing and extracting useful information from digital images. •Understand knowledge that enhances skills in image sampling and quantization, image transforms, image enhancement and restoration, image encoding, image analysis and pattern recognition. •Use and adopt fundamental and advanced mathematics, basic sciences and theories to develop and use the tools of digital image processing (DIP) to solve any new problem.

The objective of this course is to introduce the students to the fundamental techniques and algorithms used for acquiring, processing and extracting useful information from digital images. Particular emphasis will be placed on covering methods used for image sampling and quantization, image transforms, image enhancement and restoration, image encoding, image analysis

NAQAA

ABET

Course outcomes:

a. Knowledge and Understanding:
	1- Describe the fundamental mathematics and statistics required to solve problems in image processing field 2- Identify different tools of digital image processing (DIP) to solve image problems 3- Explain the principles and techniques to solve real-world problems in several areas including medical, remote sensing and surveillance
b. Intellectual Skills:
	1- Illustrate a set of alternative solutions for a given problem associated with their results for image processing problems 2- Select appropriate methodologies and techniques to filter in frequency domain images problem solution and setting out their limitations, restrictions and errors 3- Classify methods, techniques and algorithms for restoration and segmentation techniques
c. Professional and Practical Skills:
	1- Apply effective information to implement image processing systems 2- Deploy effective supporting tools to learn AI programming languages and different supporting image processing tool-boxes 3- Use human computer interaction principles in the construction and evaluation of user interfaces for wide ranges of image processing applications
d. General and Transferable Skills:
	1- Exploit a range of learning resources 2- Work in a team to develop the requirement documentation 3- Apply communication skills in presentations and report writing using various methods and tools

For further information :

• Telephone: 16383 (16FUE)
• E-mail: [email protected]