Operational rate-distortion performance for joint source and channel coding of images

  • Authors:

  • M. J. Ruf;J. W. Modestino

  • Affiliations:

  • Inst. for Commun. Technol., Aerosp. Res. Establ., Wessling;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1999

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Abstract

This paper describes a methodology for evaluating the operational rate-distortion behavior of combined source and channel coding schemes with particular application to images. In particular, we demonstrate use of the operational rate-distortion function to obtain the optimum tradeoff between source coding accuracy and channel error protection under the constraint of a fixed transmission bandwidth for the investigated transmission schemes. Furthermore, we develop information-theoretic bounds on performance for specific source and channel coding systems and demonstrate that our combined source-channel coding methodology applied to different schemes results in operational rate-distortion performance which closely approach these theoretical limits. We concentrate specifically on a wavelet-based subband source coding scheme and the use of binary rate-compatible punctured convolutional (RCPC) codes for transmission over the additive white Gaussian noise (AWGN) channel. Explicit results for real-world images demonstrate the efficacy of this approach