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Multiple description coding using pairwise correlating transforms.

Y Wang1, M T Orchard, V Vaishampayan

  • 1Polytechnic University, Brooklyn, NY 11201, USA. yao@vision.poly.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 6, 2008
PubMed
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This study introduces pairwise correlating transforms for multiple description coding (MDC), enabling high-quality decoding from combined bitstreams and acceptable quality from individual streams. The research analyzes the trade-off between redundancy and single-description distortion in transform-based image coding.

Area of Science:

  • Digital image processing
  • Information theory
  • Data compression

Background:

  • Multiple Description Coding (MDC) aims to provide robust data transmission by encoding information into multiple streams.
  • Standard MDC often requires complex methods to ensure acceptable quality from individual streams.
  • Transform-based coding offers a framework for efficient image compression.

Purpose of the Study:

  • To develop techniques for Multiple Description Coding (MDC) within standard transform-based image coding.
  • To design pairwise correlating transforms that facilitate both joint and individual stream decoding.
  • To analyze the relationship between introduced redundancy and single-description distortion.

Main Methods:

  • Design of pairwise correlating transforms for image data.

Related Experiment Videos

  • Integration of these transforms into a standard transform-based image coder.
  • Analysis of the rate-distortion performance, focusing on redundancy and single-description distortion.

    • Main Results:

    • Pairwise correlating transforms reduce distortion when only one bitstream is available.
    • The introduced correlation increases the bit rate beyond the theoretical rate-distortion limit.
    • The study quantifies the redundancy-rate-distortion performance for real images.

    Conclusions:

    • Pairwise correlating transforms are effective for achieving MDC objectives in transform coding.
    • A quantifiable trade-off exists between redundancy and single-description distortion.
    • The developed image coder demonstrates practical redundancy-rate-distortion performance.