SPIHT

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.

!NEW SPIHT in MATLAB

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

FAQ

Technical Discussion

WWW Image Compression Resources

SPIHT MegaSave

Feedback

Please take a few seconds to sign our guest book (and maybe add some comments).

If you

• want more information about SPIHT, or any of our programs;
• find that one of our WWW pages has an incorrect link;
• find a bug in the programs, or a typo in the papers;
• want to show us your results or tell us your opinion;

please send us an e-mail.

• Amir Said: said@ieee.org
• William A. Pearlman: pearlw@ecse.rpi.edu

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