A review of DNA microarray image compression

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We review the state of the art in DNA micro array image compression. 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. We then summarize the compression results reported for these specific-specific image compression schemes. In a set of experiments conducted for this paper, we obtain results for several popular image coding techniques, including the most recent coding standards. Prediction-based schemes CALIC and JPEG-LS, and JPEG2000 using zero wavelet decomposition levels are the best performing standard compressors, but are all outperformed by the best micro array-specific technique, Battiato's CNN-based scheme.

Original languageEnglish (US)
Title of host publicationProceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011
Pages139-147
Number of pages9
DOIs
StatePublished - 2011
Event1st International Conference on Data Compression, Communication, and Processing, CCP 2011 - Palinuro, Cilento Coast, Italy
Duration: Jun 21 2011Jun 24 2011

Publication series

NameProceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011

Other

Other1st International Conference on Data Compression, Communication, and Processing, CCP 2011
Country/TerritoryItaly
CityPalinuro, Cilento Coast
Period6/21/116/24/11

Keywords

  • JPEG2000
  • image coding standards
  • microarray image compression
  • microarray images

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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