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 more extensive information and downloads, go to the URL 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

please send us an e-mail.

These pages are being served from the Center for Image Processing Research (CIPR) at the Rensselaer Polytechnic Institute (RPI).

SPIHT

Last updated: November 4, 2013