Site Overview

To navigate this site, use the navigation bar to the left. This web site is organised into the following sections:

Abstract
The thesis abstract.

Introduction
This section describes impulsive noise corruption in images and background to the problem that was investigated in this project.

Methodology
This section describes the approach that was taken in the development of a Support Vector Machine for noise detection in greyscale images.

Results
This section presents the results of the impulsive noise detection filter developed in this project.

Conclusion
This section reports the main findings to come out of this project.

Downloads
The full thesis is available for download.

Resources
Includes links to online resources on Support Vector Machines, including the two Support Vector Machine implementations that were used in this project.