Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |


John R. Smith, Shih-Fu Chang. Frequency and Spatially Adaptive Wavelet Packets. In IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP'95), Detroit, MI, May 1995.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


In this paper we consider a method for image compression based on frequency and spatially adaptive wavelet packets. We present a new fast directed acyclic graph (DAG) structured decomposition, with both spatial segmentation and orthogonal frequency branching from each node. Whereas traditional wavelet packet decomposition adapts to a global frequency distribution, this technique finds the best joint spatial segmentation and local frequency basis. The algorithm is derived from the fast double tree algorithm proposed by Herley, et. al., for 1-D signals [1], with an extension to 2-D and modification to include spatial segmentation of frequency nodes. By collecting redundant nodes in this full adaptive tree, we have derived a directed acyclic graph (DAG) structure which contains the same number of nodes as the double tree, but includes new connections between nodes. We present the adaptive wavelet packet DAG algorithm and examine image compression performance on test images


John_R. Smith

BibTex Reference

   Author = {Smith, John R. and    Chang, Shih-Fu},
   Title = {Frequency and Spatially Adaptive Wavelet       Packets},
   BookTitle = {IEEE International Conference on Acoustics,          Speech & Signal Processing (ICASSP'95)},
   Address = {Detroit, MI},
   Month = {May},
   Year = {1995}

EndNote Reference [help]

Get EndNote Reference (.ref)


For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).