• DocumentCode
    1271978
  • Title

    Universal trellis coded quantization

  • Author

    Kasner, James H. ; Marcellin, Michael W. ; Hunt, Bobby R.

  • Author_Institution
    The Aerospace Corp., Chantilly, VA, USA
  • Volume
    8
  • Issue
    12
  • fYear
    1999
  • fDate
    12/1/1999 12:00:00 AM
  • Firstpage
    1677
  • Lastpage
    1687
  • Abstract
    A new form of trellis coded quantization based on uniform quantization thresholds and “on-the-fly” quantizer training is presented. The universal trellis coded quantization (UTCQ) technique requires neither stored codebooks nor a computationally intense codebook design algorithm. Its performance is comparable with that of fully optimized entropy-constrained trellis coded quantization (ECTCQ) for most encoding rates. The codebook and trellis geometry of UTCQ are symmetric with respect to the trellis superset. This allows sources with a symmetric probability density to be encoded with a single variable-rate code. Rate allocation and quantizer modeling procedures are given for UTCQ which allow access to continuous quantization rates. An image coding application based on adaptive wavelet coefficient subblock classification, arithmetic coding, and UTCQ is presented. The excellent performance of this coder demonstrates the efficacy of UTCQ. We also present a simple scheme to improve the perceptual performance of UTCQ for certain imagery at low bit rates. This scheme has the added advantage of being applied during image decoding, without the need to reencode the original image
  • Keywords
    adaptive codes; arithmetic codes; data compression; decoding; image classification; image coding; quantisation (signal); rate distortion theory; transform coding; trellis codes; wavelet transforms; UTCQ; adaptive wavelet coefficient subblock classification; arithmetic coding; codebook; distortion rate performance; encoding rates; entropy-constrained trellis coded quantization; image coding application; image decoding; low bit rates; on-the-fly quantizer training; perceptual performance; quantizer modeling; rate allocation; symmetric probability density; trellis geometry; uniform quantization thresholds; universal trellis coded quantization; variable-rate code; Algorithm design and analysis; Arithmetic; Bit rate; Decoding; Image coding; Information geometry; Iterative algorithms; Quantization; Switches; Wavelet coefficients;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.806615
  • Filename
    806615