This WW page presents the powerful wavelet-based image compression method called Set Partitioning in Hierarchical Trees (SPIHT). This award-winning method has received worldwide acclaim and attention since its introduction via this web site in 1995. Thousands of people, researchers and practioners alike, have now tested and used SPIHT. It has become the benchmark state-of-the-art algorithm for image compression.

The SPIHT method is not a simple extension of traditional methods for image compression, and represents an important advance in the ....etc

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PLEASE SEND ME THE IMPLEMENTATION OF SPIHT ALGORITHM ON MATLAB CODING

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Modified SPIHT algorithm for wavelet packet image coding

Nikola Sprljana, , Sonja Grgicb, Mislav Grgicb
aMultimedia and Vision Lab, Department of Electronic Engineering, Queen Mary, University of London, London E1 4NS, UK
bFaculty of Electrical Engineering and Computing, University of Zagreb, Unska 3/XII, HR-10000 Zagreb, Croatia

Abstract
This paper introduces a new implementation ofwavelet packet decomposition which is combined with SPIHT (Set Partitioning in
Hierarchical Trees) compression scheme. We pr ....etc

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/**
* %SVN.HEADER%
*/
package net.sf.javaml.clustering;

import java.util.Random;

import net.sf.javaml.core.Dataset;
import net.sf.javaml.core.DefaultDataset;
import net.sf.javaml.core.Instance;
import net.sf.javaml.distance.DistanceMeasure;
import net.sf.javaml.distance.EuclideanDistance;
import net.sf.javaml.tools.DatasetTools;

/**
* Implementation of the K-medoids algorithm. K-medoids is a clustering
* algorithm that is very much like k-means. The main difference between the two
* algorithms is the cluster center they use. K-means use ....etc

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