Date of Award


Degree Type


Degree Name

Bachelor of Education Honours


Faculty of Communication, Health and Science

First Advisor

Abdesselam Bouzerdoum

Second Advisor

Dr Douglas Chai


This thesis investigates the benefits and the significant compression that can be obtained from data that has been decomposed using a wavelet transform. A video compression algorithm was developed that employs the wavelet transform and a hierarchical motion estimation algorithm which itself utilises benefits of the wavelet transform. Using MATLAB, a popular software tool for matrix based computation and analysis, several functions were developed which together formed the video compression algorithm. A variety of tests were conducted on a sample video sequence to ascertain the strengths and weaknesses of the techniques employed. The results, although not the same as the main comparison (MPEG- 1), show that the wavelet transform does have a huge potential for application in the area of video compression. The quality of the output also has advantages over DCT (Discrete Cosine Transform) based compression algorithms. One of the main outcomes is an awareness that the wavelet transform and the hierarchical motion estimation algorithm do provide significant compressibility, however the overheads need to be reduced as much as possible to ensure viability. There is still plenty of room for improvement and enhancement of the results achieved in this thesis. The potential benefits of wavelet based video compression are endless. With this being the early stages of the Information Era, compression (in particular video) is becoming increasingly important on a daily basis.