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Energy Driven Selection and Hardware Implementation of Bi-Level Image Compression
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0003-1923-3843
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-3429-273X
2014 (English)In: Proceedings of the International Conference on Distributed Smart Cameras, ACM Press, 2014, a32Conference paper, Published paper (Refereed)
Abstract [en]

Wireless Vision Sensor Nodes are considered to have smaller resources and are expected to have a longer lifetime based on the available limited energy. A wireless Vision Sensor Node (VSN) is often characterized to consume more energy in communication as compared to processing. The communication energy can be reduced by reducing the amount of transmission data with the help of a suitable compression scheme. This work investigates bi-level compression schemes including G4, G3, JBIG2, Rectangular, GZIP, GZIP_Pack and JPEG-LS on a hardware platform. The investigation results show that GZIP_pack, G4 and JBIG2 schemes are suitable for a hardware implemented VSN. JBIG2 offers up to a 43 percent reduction in overall energy consumption as compared to G4 and GZIP_pack for complex images. However, JBIG2 has higher resource requirement and implementation complexity. The difference in overall energy consumption is smaller for smooth images. Depending on the application requirement, the exclusion of a header can reduce the energy consumption by approximately 1 to 33 percent.

Place, publisher, year, edition, pages
ACM Press, 2014. a32
Keyword [en]
Bi-level, compression schemes, wireless vision sensor node
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-23580DOI: 10.1145/2659021.2659061Scopus ID: 2-s2.0-84913559536Local ID: STCISBN: 978-1-4503-2925-5 (print)OAI: oai:DiVA.org:miun-23580DiVA: diva2:768223
Conference
ACM/IEEE International Conference on Distributed Smart Cameras ICDSC '14
Available from: 2014-12-03 Created: 2014-12-03 Last updated: 2017-03-06Bibliographically approved

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Imran, MuhammadO’Nils, MattiasLawal, Najeem
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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