Image Compression with Set Partitioning in Hierarchical Trees

Welcome to the WWW home page that describes Set Partitioning in Hierarchical Trees (SPIHT): the award-winning wavelet-based image compression method. The method also compresses video and medical/biological signals very efficiently.

We utilize this homepage as a general resource for signal compression, so will make available programs other than SPIHT.


Now available is a fast arithmetic coding algorithm, called FastAC, authored by Amir Said.
For informtion read Information about FastAC
For information and download, Download FastAC .

Information about SPIHT

Properties of the Method
Licensing Information
Demo Programs/Downloads
Books and Papers
Demo Images
Technical Discussion
WWW Image Compression Resources
SPIHT MegaSave


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These pages were originally served from the Center for Image Processing Research (CIPR) and are now served from ECSE - Rensselaer Polytechnic Institute, the Electrical, Computer and Systems Engineering (ECSE) Department at Rensselaer Polytechnic Institute, Troy, NY 12180, USA.


Last updated: April 14, 2019