Parallelisable Zero-Tree Image Coding with Significance Maps

Authors:
Rade Kutil
Affiliations:
-
Venue:
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Year:
2001

Citing 2
Cited 2

An Embedded Wavelet Video Coder Using Three-Dimensional Set Partitioning in Hierarchical Trees (SPIHT)

DCC '97 Proceedings of the Conference on Data Compression
A new, fast, and efficient image codec based on set partitioning in hierarchical trees

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
Wavelet packet zerotree image coding on multicomputers

EUROMICRO-PDP'02 Proceedings of the 10th Euromicro conference on Parallel, distributed and network-based processing

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Abstract

The wavelet transform is more and more widely used in image and video compression. As today the parallelisation of the wavelet transformis 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.