How can spiral architecture improve image compression?

Xiangjian He, Huaqing Wang, Tom Hintz, Qiang Wu

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

6 Citations (Scopus)

Abstract

An image file contains a large amount of data. Image compression changes a large image file into a much smaller file. Smaller files require less memory to store, less computer network bandwidth to transfer on the Internet, less time for a computer to process. Image compression becomes important and necessary due to limited computer network bandwidth, computer processor speed and computer storage size. In this paper, we represent an image on our recently created image structure, called Spiral Architecture. We propose algorithms for image compression based on important features of Spiral Architecture: locality and uniformity. Locality is a consequence of a special scheme for numbering image pixels which guarantees physical proximity of the pixels with neighbouring addresses. Uniformity refers to uniformly separating image into similar sub-images.

Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004)
Pages426-431
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004) - Harbin, China
Duration: 9 Jan 200411 Jan 2004

Publication series

NameProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004)

Conference

ConferenceProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004)
Country/TerritoryChina
CityHarbin
Period9/01/0411/01/04

Keywords

  • Image Compression
  • Image partitioning
  • Spiral architecture

ASJC Scopus subject areas

  • General Engineering

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