On the Scalability of 2-D Discrete Wavelet Transform Algorithms
Multidimensional Systems and Signal Processing
DCC '97 Proceedings of the Conference on Data Compression
SPIHT image compression without lists
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
High performance JPEG 2000 and MPEG-4 VTC on SMPs using OpenMP
Parallel Computing - OpenMp
Scalable load-balance measurement for SPMD codes
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
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The wavelet transform is more and more widely used in image and video compression. One of the best known algorithms in image compression is the set partitioning in hierarchical trees algorithm which involves the wavelet transform. As today the parallelisation of the wavelet transform is sufficiently investigated, this work deals with the parallelisation of the compression algorithm itself as a next step. Two competitive approaches are presented: one is a direct parallelisation and the other uses an altered algorithm which suits better to the parallel architecture.