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With advances in imaging and communication systems, there is increased use of multi-dimensional images. Examples include multi-view image/video, hyperspectral image/video and dynamic volume imaging in CT/MRI/Ultrasound. These datasets consume even larger amounts of resources for transmission or storage compared to 2-D images. Hence, it is vital to have efficient compression methods for multi-dimensional images. In this dissertation, first, a JPEG2000 Part-2 compliant scheme is proposed for compressing multi-dimensional datasets for any dimension N>=3. Secondly, a novel view-compensated compression method is investigated for remote visualization of volumetric data. Experimental results indicate superior compression performance compared to state-of-the-art compression standards. Thirdly, a new scalable low complexity coder is designed that sacrifices some compression efficiency to get substantial gain in throughput. Potential use of the scalable low complexity coder is illustrated for two applications: Airborne video transmission and remote volume visualization.

Simulation modelling was used to quantify the accuracy of positions estimated in a three dimensional underwater environment. Time of arrival differences combined with multilateration methods were used to make positional estimates of a signal source (acoustic tag). The network studied was used to examine position estimates of aquatic organisms within a sensor (hydrophone) array. Hydrophone position uncertainty (distribution and variance), background noise converted to a measurement of signal strength in the form of a signal to noise ratio, a signal to noise ratio threshold and geometry of the hydrophone array were considered. Each of these factors was studied at two levels by way of a 2 to the power of 5 factorial design and analyzed with an ANOVA analysis to determine their influence on three dimensional positioning error. The level of background noise and hydrophone geometry were the two most influential factors in position accuracy. When a high level of background noise was present, it was essential that hydrophone geometry was as close to ideal as possible to ensure accurate position estimates.

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