Achieving fast fractal image compression using spiral architecture

Dan Liu, Xiangjian He

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

Abstract

Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system, n this novel architecture, Spiral Addition and Multiplication achieve image processing. As we all nown, fractal image compression methods have maximal image compression ratio, at the cost of slow coding speed. This paper presents an algorithm to achieve high image compression ratio without slow coding speed on Spiral Architecture, which also improves the Spiral Architecture s usage in image processing.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05
Pages141-146
Number of pages6
Publication statusPublished - 2005
Externally publishedYes
Event2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05 - Las Vegas, NV, United States
Duration: 27 Jun 200530 Jun 2005

Publication series

NameProceedings of the 2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05
Volume1

Conference

Conference2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05
Country/TerritoryUnited States
CityLas Vegas, NV
Period27/06/0530/06/05

Keywords

  • Distributed image processing
  • Fractals
  • Image compression
  • Spiral Architecture

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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