Fractal image compression on a pseudo Spiral Architecture

Huaqing Wang, Meiqing Wang, Tom Hintz, Xiangjian He, Qiang Wu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image by fractals and each of which is the fixed point of an Iterated Function System (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an impressive compression ratio 10000:1 can be achieved. The application of fractal image compression presented in this paper is based on a novel image structure, Spiral Architecture, which has hexagonal instead of square pixels as the basic element. In the paper evidence would suggest that introducing Spiral Architecture into fractal image compression will improve the compression performance in compression ratio with little suffering in image quality. There are also much research could be done in this area to further improve the results.

Original languageEnglish
Title of host publicationComputer Science 2005 - 28th Australasian Computer Science Conference, ACSC 2005
Pages201-208
Number of pages8
Publication statusPublished - 2005
Externally publishedYes
Event28th Australasian Computer Science Conference, ACSC 2005 - Newcastle, NSW, Australia
Duration: 31 Jan 20053 Feb 2005

Publication series

NameConferences in Research and Practice in Information Technology Series
Volume38
ISSN (Print)1445-1336

Conference

Conference28th Australasian Computer Science Conference, ACSC 2005
Country/TerritoryAustralia
CityNewcastle, NSW
Period31/01/053/02/05

Keywords

  • Fractals
  • Hexagonal structure
  • Image compression
  • Image encoding
  • Spiral Architecture

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

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