• DocumentCode
    1363822
  • Title

    The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

  • Author

    Weinberger, Marcelo J. ; Seroussi, Gadiel ; Sapiro, Guillermo

  • Author_Institution
    Hewlett-Packard Co., Palo Alto, CA, USA
  • Volume
    9
  • Issue
    8
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    1309
  • Lastpage
    1324
  • Abstract
    LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a “low complexity projection” of the universal context modeling paradigm, matching its modeling unit to a simple coding unit. By combining simplicity with the compression potential of context models, the algorithm “enjoys the best of both worlds.” It is based on a simple fixed context model, which approaches the capability of the more complex universal techniques for capturing high-order dependencies. The model is tuned for efficient performance in conjunction with an extended family of Golomb (1966) type codes, which are adaptively chosen, and an embedded alphabet extension for coding of low-entropy image regions. LOCO-I attains compression ratios similar or superior to those obtained with state-of-the-art schemes based on arithmetic coding. Moreover, it is within a few percentage points of the best available compression ratios, at a much lower complexity level. We discuss the principles underlying the design of LOCO-I, and its standardization into JPEC-LS
  • Keywords
    ISO standards; arithmetic codes; code standards; computational complexity; data compression; entropy; image coding; standardisation; Golomb-type codes; ISO/ITU standard; JPEG-LS; LOGO-I lossless image compression algorithm; arithmetic coding; coding unit; compression ratios; continuous-tone images; efficient performance; embedded alphabet extension; fixed context model; high-order dependencies; lossless compression; low complexity lossless compression for images; low complexity projection; low-entropy image regions; modeling unit; near-lossless compression; standardization; universal context modeling paradigm; Arithmetic; Context modeling; Data compression; Decoding; ISO standards; Image coding; Inference algorithms; Laboratories; Solid modeling; Standardization;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.855427
  • Filename
    855427