Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Back to basics: Towards novel computation and arrangement of spatial sensory in images
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
2016 (English)In: Acta Polytechnica, ISSN 1210-2709, Vol. 56, no 5, 409-416 p.Article in journal (Refereed) Published
Abstract [en]

The current camera has made a huge progress in the sensor resolution and the low-luminance performance. However, we are still far from having an optimal camera as powerful as our eye is. The study of the evolution process of our visual system indicates attention to two major issues: the form and the density of the sensor. High contrast and optimal sampling properties of our visual spatial arrangement are related directly to the densely hexagonal form. In this paper, we propose a novel software-based method to create images on a compact dense hexagonal grid, derived from a simulated square sensor array by a virtual increase of the fill factor and a half a pixel shifting. After that, the orbit functions are proposed for a hexagonal image processing. The results show it is possible to achieve image processing operations in the orbit domain and the generated hexagonal images are superior, in detection of curvature edges, to the square images. We believe that the orbit domain image processing has a great potential to be the standard processing for hexagonal images.

Place, publisher, year, edition, pages
2016. Vol. 56, no 5, 409-416 p.
Keyword [en]
Convolution, Fill factor, Hexagonal pixel, Hexagonal processing, Hexagonal sensor array, Orbit functions, Orbit transform, Square pixel
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:bth-13798DOI: 10.14311/AP.2016.56.0409ScopusID: 2-s2.0-85008440583OAI: oai:DiVA.org:bth-13798DiVA: diva2:1067230
Note

open access

Available from: 2017-01-20 Created: 2017-01-20 Last updated: 2017-01-23Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Wen, WeiKhatibi, Siamak
By organisation
Department of Communication Systems
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf