Standard and specific compression techniques for DNA microarray images

Miguel Hernández-Cabronero, Ian Blanes, Michael W. Marcellin, Joan Serra-Sagristá

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work. First, we describe the most relevant approaches published in the literature and classify them according to the stage of the typical image compression process where each approach makes its contribution, and then we summarize the compression results reported for these microarray-specific image compression schemes. In a set of experiments conducted for this paper, we obtain new results for several popular image coding techniques that include the most recent coding standards. Prediction-based schemes CALIC and JPEG-LS are the best-performing standard compressors, but are improved upon by the best microarray-specific technique, Battiato's CNN-based scheme.

Original languageEnglish (US)
Pages (from-to)30-49
Number of pages20
JournalAlgorithms
Volume5
Issue number1
DOIs
StatePublished - Mar 1 2012

Keywords

  • Image coding standards
  • JPEG2000
  • Microarray image compression
  • Microarray images

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Numerical Analysis
  • Computational Theory and Mathematics
  • Computational Mathematics

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