Further approaches to image compression on spiral architecture

Tom Hintz, Huaqing Wang, Xiangjing He

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

Abstract

Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research compression on the Spiral Architecture focused on the properties of the pixel address labeling scheme. This gives rise to the properly of interest which is the physical proximity of the hexagonal pixels with neighboring addresses. It was shown that rectangular systems have vertical physically adjacent pixels but the address distance is the length of a scan line. It was demonstrated that in the Spiral Architecture, unlike the rectangular system, has the property that neighboring pixels have similar intensities thus giving opportunities for better compression. The latest analysis shows the opportunities when the scaling property of the Spiral architecture is leveraged.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04
EditorsH.R. Arabnia
Pages57-59
Number of pages3
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04 - Las Vegas, NV, United States
Duration: 21 Jun 200424 Jun 2004

Publication series

NameProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04

Conference

ConferenceProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04
Country/TerritoryUnited States
CityLas Vegas, NV
Period21/06/0424/06/04

Keywords

  • Distributed image processing
  • Image analysis
  • Image compression
  • Spiral architecture

ASJC Scopus subject areas

  • Engineering (all)

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