• DocumentCode
    3479818
  • Title

    Parallel and element-reduced Error-Diffused Block Truncation Coding

  • Author

    Guo, Jing-Ming ; Lin, Chih-Yu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1905
  • Lastpage
    1908
  • Abstract
    Block Truncation Coding (BTC) is an efficient compression technique for its inherent simple coding strategy. However, the annoying blocking effect and false contour accompanied in high coding gain configurations make the applications relatively limited compares to some up-to-date compression schemes. For this, Error-Diffused Block Truncation Coding (EDBTC) is proposed to solve these problems and obtain satisfactory results. Unfortunately, the EDBTC sacrifices the parallel advantage of traditional BTC. Moreover, the number of diffused directions of EDBTC can be reduced to obtain higher efficiency. For these, the Interlaced Error-Diffused Block Truncation Coding (IEDBTC) is proposed in this work to claim back the parallel advantage. In addition, the diffused elements are also reduced from four to two with the proposed optimization procedure while preserving the image quality.
  • Keywords
    data compression; image coding; compression technique; element-reduced block truncation coding; interlaced error-diffused block truncation coding; parallel block truncation coding; Computational complexity; Equations; Image coding; Image quality; Mean square error methods; Pixel; Quantization; block truncation coding; error diffusion; error-diffused block truncation coding; interlaced error-diffused block truncation coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413698
  • Filename
    5413698