• DocumentCode
    254306
  • Title

    Lossless compression of DNA Microarray images with Inversion Coder

  • Author

    Koc, Basar ; Arnavut, Ziya ; Kocak, Huseyin

  • Author_Institution
    Department of Computer Science, University of Miami, FL, 33146 USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    DNA Microarray images are used to identify and monitor gene activity, or expression. In a single experiment, a large number of microarray images may be produced. Storage and archiving of these images are an important problem for researchers. Since microarray images can have a wide variety of nearly random patterns with no discernible structures, general entropy coders, e.g. Bzip2, or generic image compressors, e.g. JPEG-LS, do not perform well. In this work, we investigate performance of the inversion coding technique in lossless compression of DNA microarray images. We show that inversion coding outperforms commonly used entropy coders and image compressors.
  • Keywords
    Biomedical imaging; Compressors; Image coding; BWIC; Block-sorting; DNA Microarray Images; Inversion Ranks; Lossless Compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High-capacity Optical Networks and Emerging/Enabling Technologies (HONET), 2014 11th Annual
  • Conference_Location
    Charlotte, NC, USA
  • Print_ISBN
    978-1-4799-6939-5
  • Type

    conf

  • DOI
    10.1109/HONET.2014.7029387
  • Filename
    7029387