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Related Experiment Videos

Markov model aided decoding for image transmission using soft-decision-feedback.

R Link1, S Kallel

  • 1Dept. of Electr. and Comput. Eng., British Columbia Univ., Vancouver, BC, Canada. robertl@ece.ubc.ca

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
PubMed
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Soft-decision-feedback decoders for joint source/channel decoding (JSCD) leverage 2-D source redundancy. This novel sheet decoding approach significantly reduces computational complexity for improved image transmission quality.

Area of Science:

  • Information Theory
  • Digital Communications
  • Image Processing

Background:

  • Exploiting residual redundancy in 2D sources for joint source/channel decoding (JSCD).
  • Utilizing second-order Markov models for row-by-row decoding in 2D data.
  • Limitations of traditional 1D decoding methods for 2D data structures.

Purpose of the Study:

  • To develop and evaluate soft-decision-feedback MAP decoders for 2D JSCD.
  • To introduce and analyze the performance of 'sheet decoding' for 2D data.
  • To compare the proposed soft-decision-feedback sheet decoder with hard-decision-feedback methods.

Main Methods:

  • Generalizing trellis decoding from 1D to 2D data for sheet decoding.
  • Implementing a soft-decision-feedback sheet decoder based on the Bahl algorithm.

Related Experiment Videos

  • Comparing performance against a hard-decision-feedback sheet decoder using the Viterbi algorithm.

    • Main Results:

    • Soft-decision-feedback sheet decoders achieve comparable performance to hard-decision-feedback decoders with one additional vertical depth.
    • Significant reduction in computational complexity is observed due to the nature of soft-decision feedback.
    • For monochrome Lena image transmission, gains of 5.0 dB (V=1) and 6.3 dB (V=2) in RSNR were achieved at a 0.05 channel bit error rate.

    Conclusions:

    • Soft-decision-feedback sheet decoding offers a more computationally efficient approach for 2D JSCD.
    • The method effectively utilizes source redundancy to improve transmission quality over noisy channels.
    • This technique provides a practical solution for high-quality image transmission with reduced complexity.