• DocumentCode
    3092090
  • Title

    Lossless compression of dithered images with the pseudo-distance technique

  • Author

    Koc, Basar ; Arnavut, Ziya ; Kocak, Huseyin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Miami, Miami, FL, USA
  • fYear
    2012
  • fDate
    12-14 Dec. 2012
  • Firstpage
    147
  • Lastpage
    151
  • Abstract
    Despite many advances, still image storage and transfer, particularly in low-cost devices, remain to be important problems. For example, some wireless phone displays do not have the capacity to handle true colors. To remedy this problem, a color quantization (color palette) technique is often applied to images in order to reduce the number of colors. However, to avoid the side effects of the color-quantization, usually a process called dithering is applied to quantized images. Dithering techniques approximate colors which are not available in the palette by utilizing a diffusion technique of colored pixels from within the available palette. In this work, we examine compression of color-quantized images with different dithering techniques and show that the recently introduced modified pseudo-distance technique yields better compression results than the wellknown GIF and PNG techniques.
  • Keywords
    data compression; image coding; image colour analysis; quantisation (signal); color palette; color quantization; color quantized image; dithered image; dithering technique; lossless compression; pseudo distance technique; wireless phone displays; Encoding; Image color analysis; Image reconstruction; Indexing; Color palette; Dithering; GIF; Image compression; PNG; Pseudo-distance Metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Capacity Optical Networks and Enabling Technologies (HONET), 2012 9th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2891-3
  • Type

    conf

  • DOI
    10.1109/HONET.2012.6421452
  • Filename
    6421452