• DocumentCode
    2049081
  • Title

    A Review of DNA Microarray Image Compression

  • Author

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

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
  • fYear
    2011
  • fDate
    21-24 June 2011
  • Firstpage
    139
  • Lastpage
    147
  • 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.
  • Keywords
    DNA; image coding; CALIC; DNA microarray image compression; JPEG-LS; JPEG2000; image coding standard; prediction-based scheme; standard compressor; zero wavelet decomposition levels; DNA; Data mining; Image coding; Image segmentation; Loss measurement; Transforms; JPEG2000; image coding standards; microarray image compression; microarray images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression, Communications and Processing (CCP), 2011 First International Conference on
  • Conference_Location
    Palinuro
  • Print_ISBN
    978-1-4577-1458-0
  • Electronic_ISBN
    978-0-7695-4528-8
  • Type

    conf

  • DOI
    10.1109/CCP.2011.21
  • Filename
    6061015