• DocumentCode
    999169
  • Title

    Improved Block Truncation Coding Based on the Void-and-Cluster Dithering Approach

  • Author

    Guo, Jing-Ming ; Wu, Ming-Feng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • Volume
    18
  • Issue
    1
  • fYear
    2009
  • Firstpage
    211
  • Lastpage
    213
  • Abstract
    Block truncation coding (BTC) is an efficient technology for image compression. An improved BTC algorithm, namely ordered dither block truncation coding (ODBTC), is presented in this study. In order to provide better image quality, the void-and-cluster halftoning is combined with the BTC. The ODBTC results show that the image quality is improved when it is operated in high coding gain applications. Another feature of the ODBTC is the dither array look up table (LUT), which significantly reduces the complexity compared to the BTC.
  • Keywords
    block codes; data compression; image coding; dither array look up table; high coding gain application; image compression; image quality; ordered dither block truncation coding; void-and-cluster dithering approach; void-and-cluster halftoning; Block Truncation Coding (BTC) digital halftoning; ordered dithering; void-and-cluster; Algorithms; Cluster Analysis; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2008.2007385
  • Filename
    4682622