COMP40600 Multimedia Security and Data Hiding

Academic Year 2017/2018

This module provides exposure to an advanced topic in the area of Computer Science and Digital Communications. Specifically, it provides an introduction to the fundamental principles of data hiding technologies, their applications and main challenges. It emphasises the importance of mathematical and statistical models and tools in order to gain in-depth understanding of a system through optimal design, performance prediction, etc... Practical illustration is proposed using digital images in the Matlab environment.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, students should have gained a deep understanding of the core problems behind data hiding technologies, be able to implement and evaluate various techniques published in the recent research literature and, using lecture notes and other research publications, be able to solve challenging problems in the field of data-hiding and information forensics. In the process, they will have acquired fundamental knowledge on probability and information theory, that will enable them to address many other problems outside the discipline tackled by this course.

Student Effort Hours: 
Student Effort Type Hours
Lectures

24
Autonomous Student Learning

80
Total

104
 
Requirements, Exclusions and Recommendations
Learning Requirements:

Basic knowledge of differential calculus
Linear Algebra
Information Theory

Learning Recommendations:

Digital Image Processing
Digital Communications
Statistics



 
Description % of Final Grade Timing
Continuous Assessment: COMP40600

100

 Varies over the Trimester

Compensation

This module is not passable by compensation

Resit Opportunities

No Resit

Remediation

If you fail this module you may repeat or substitute where permissible