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Evaluation of Image Compression Algorithms for Electronic Shelf Labels
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2009 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

An advantageous innovation for retail stores is the ESL system, which consists of many electronic units, called labels, showing product and price information to customers on small displays. Such a system offers, among other things, efficient price updates that implies lower costs by reducing man-hours and paper volumes. Data transfered to a label can be compressed in order to minimize the data size and thuslowering the updating time and the energy consumption of a label.

In this study, twelve lossless compression prototypes were implemented and evaluated, using a corpus set of bi-level images, with respect to compressibility, encoding and decoding time. Six of those prototypes were subject to case studies of real ESL data and further studies of memory consumption.

The results showed that the low-precision arithmetic coder LowPac, which uses a context-based probability model, was one of the best prototypes over all data sets in terms of compressibility and it was also the most memory-efficient prototype. Using the corpus set, LowPac obtained encoding and decoding times of 2 times longer than one of the fastest prototypes, but with 108% improvement of compressibility, on average.

Place, publisher, year, edition, pages
2009.
Series
UPTEC IT, ISSN 1401-5749 ; 09 018
Identifiers
URN: urn:nbn:se:uu:diva-112031OAI: oai:DiVA.org:uu-112031DiVA, id: diva2:284410
Presentation
(English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2010-01-07 Created: 2010-01-07 Last updated: 2010-01-08Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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