Optimization of 3-D Wavelet Decomposition on Multiprocessors

In this work we discuss various ideas for the optimization of 3-D wavelet/subband decomposition on shared memory MIMD computers. We theoretically evaluate the characteristics of these approaches and verify the results on parallel computers. Experimental results are conducted on a shared memory as well as a virtual shared memory architecture

Parallelisable Zerotree Image Coding With Significance Maps

The wavelet transform is more and more widely used in image and video compression. As today the parallelisation of the wavelet transform is sufficiently investigated this work deals with the compression algorithm (SPIHT) itself as a next step. A derived algorithm with a simpler and spacially oriented coefficient scan order is presented, which is more suitable for parallelisation

A Significance Map Based Adaptive Wavelet Zerotree Codec (SMAWZ)

This paper presents a wavelet based codec (SMAWZ) that uses the most important features of the SPIHT algorithm (zero-trees) while eliminating all concepts that are incompatible with a reduced hardware environment. This is done by replacing dynamic list structures with static maps (significance maps) which leads to a simpler and spacially oriented coefficient scan order. Additionally, extensions such as wavelet packet support and object based coding are included