Adapted wavelet analysis from theory to software
Adapted wavelet analysis from theory to software
Parallelisable Zero-Tree Image Coding with Significance Maps
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
ParNum '99 Proceedings of the 4th International ACPC Conference Including Special Tracks on Parallel Numerics and Parallel Computing in Image Processing, Video Processing, and Multimedia: Parallel Computation
Multicomputer Algorithms for Wavelet Packet Image Decomposition
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
2-D wavelet packet decomposition on multicomputers
EURO-PDP'00 Proceedings of the 8th Euromicro conference on Parallel and distributed processing
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Wavelet packet image coding using space-frequency quantization
IEEE Transactions on Image Processing
Optimal bit allocation and best-basis selection for wavelet packets and TSVQ
IEEE Transactions on Image Processing
Fast adaptive wavelet packet image compression
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Scalable wavelet coding for synthetic/natural hybrid images
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Wavelet-Based Video Coding
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Motion-compensated wavelet packet zerotree video coding on multicomputers
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Parallel, distributed and network-based processing
High performance JPEG 2000 and MPEG-4 VTC on SMPs using OpenMP
Parallel Computing - OpenMp
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In this work we describe and analyze algorithms for advanced image coding on distributed memory MIMD architectures. In particular, we consider a wavelet packet based image codec using the concept of zerotree encoding. The main contribution of this work is the design of a parallel image coder composed of a wavelet packet decomposition in conjunction with the best basis algorithm followed by zerotree coding. Whereas two sensible parallelization techniques can be employed for the wavelet packet decomposition (subband based partitioning and stripe partitioning), the zerotree coding step only allows one reasonable parallelization method (stripe partitioning). We investigate the advantages and drawbacks of all combinations and show experimental results obtained on a Siemens hpcLine cluster and a Cray T3E.