Result: A novel image coding algorithm using ant colony system vector quantization
Title:
A novel image coding algorithm using ant colony system vector quantization
Authors:
Source:
IWSSIP'04 : international workshop on systems, signals and image processing (Poznan, 13-15 September 2004). :271-274
Publisher Information:
Poznan: PTETIS, 2004.
Publication Year:
2004
Physical Description:
print, 4 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Signal, bruit, Signal, noise, Représentation du signal. Analyse spectrale, Signal representation. Spectral analysis, Echantillonnage, quantification, Sampling, quantization, Traitement du signal, Signal processing, Traitement des images, Image processing, Algorithme, Algorithm, Algoritmo, Analyse signal, Signal analysis, Análisis de señal, Codage image, Image coding, Compression donnée, Data compression, Compresión dato, Evaluation performance, Performance evaluation, Evaluación prestación, Liaison bidirectionnelle, Bidirectional link, Unión bidireccional, Méthode combinatoire, Combinatorial method, Método combinatorio, Méthode image, Image method, Método imagen, Ondelette, Wavelets, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Quantification vectorielle, Vector quantization, Cuantificación vectorial, Table codage, Codebook, Tabla codificación, Traitement image, Image processing, Procesamiento imagen
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Warwick, United Kingdom
Faculty of Computer Engineering, GIK Institute of Engineering Sciences & Technology, Pakistan
Faculty of Computer Engineering, GIK Institute of Engineering Sciences & Technology, Pakistan
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.16744846
Database:
PASCAL Archive
Further Information
Ant colony system (ACS) is a combinatorial optimization method motivated by the behaviour of real ants. In this paper, we present a novel image coding method based on ACS vector quantization of groups of wavelet coefficients. The generation of codebook using ACS is facilitated by representing the coefficient vectors in a bidirectional graph, followed by defining a suitable mechanism of depositing pheromone on the edges of graph. Experimental results show that the quantization of zerotree vectors using ACS outperforms, in most cases, its traditionally used Linde-Buzo-Gray (LBG) counterpart.