• DocumentCode
    3169806
  • Title

    Parallel lossless compression of color-mapped images

  • Author

    Koc, Basar ; Arnavut, Ziya ; Kocak, Huseyin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Miami, Miami, FL, USA
  • fYear
    2013
  • fDate
    11-13 Dec. 2013
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    The pseudo-distance technique (PDT) in lossless compression of color-mapped images has proved to be effective. We showed previously that by utilizing the PDT along with the Burrows-Wheeler transformation and an entropy coder, we obtained better compression gain than other well-known generic image compressors e.g. Portable Network Graphics (PNG). Most of these techniques have been designed as sequential image compression algorithms. In this paper, we propose a method for the PDT which allows to the parallelization of the PDT and reduces the compression time significantly.
  • Keywords
    data compression; entropy; image coding; matrix algebra; Burrows-Wheeler transformation; color-mapped images; compression gain; compression time; entropy coder; generic image compressors; parallel lossless compression; pseudo-distance technique; sequential image compression algorithms; Compressors; Data compression; Decoding; Entropy; Heuristic algorithms; Image coding; Image color analysis; PNG; Parallel compression; color-mapped images; lossless compression; pseudo-distance metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Capacity Optical Networks and Enabling Technologies (HONET-CNS), 2013 10th International Conference on
  • Conference_Location
    Magosa
  • Print_ISBN
    978-1-4799-2568-1
  • Type

    conf

  • DOI
    10.1109/HONET.2013.6729771
  • Filename
    6729771