A novel image coding algorithm using ant colony system vector quantization

[thumbnail of iwssip04.pdf]
Preview
PDF
iwssip04.pdf - Published Version - Requires a PDF viewer.

Download (1MB) | Preview
[thumbnail of Coversheet]
Preview
PDF (Coversheet)
WRAP_Coversheet_FinalVersion (2)_Rajpoot2.pdf - Other - Requires a PDF viewer.

Download (97kB) | Preview

Request Changes to record.

Abstract

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.

Item Type: Conference Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Image compression, Wavelets (Mathematics)
Official Date: 2004
Dates:
Date
Event
2004
Available
Status: Peer Reviewed
Publication Status: Unpublished
Date of first compliant deposit: 28 July 2016
Date of first compliant Open Access: 28 July 2016
Conference Paper Type: Paper
Title of Event: International Workshop on Systems, Signals and Image Processing (IWSSIP 2004)
Type of Event: Workshop
Location of Event: Poznan, Poland
Date(s) of Event: 13-15 Sep 2004
Related URLs:
URI: https://wrap.warwick.ac.uk/61378/

Export / Share Citation


Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item