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Wireless image transmission using turbo codes and optimal unequal error protection.

Nikolaos Thomos1, Nikolaos V Boulgouris, Michael G Strintzis

  • 1Information Processing Laboratory, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece. nthomos@iti.gr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 11, 2005
PubMed
Summary

A new image transmission scheme uses turbo and Reed-Solomon codes to improve data transfer over wireless channels. This robust coding system effectively handles errors, outperforming existing methods for set partitioning in hierarchical trees image streams.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Information Theory

Background:

  • Wireless channels are prone to burst errors, degrading image transmission quality.
  • Existing robust coding schemes for image streams have limitations in handling these errors effectively.

Purpose of the Study:

  • To propose a novel image transmission scheme for set partitioning in hierarchical trees (SPIHT) image streams over wireless channels.
  • To enhance the robustness and efficiency of image data communication in unreliable network environments.

Main Methods:

  • Employing a combination of turbo codes and Reed-Solomon codes for error correction.
  • Developing an algorithm for optimal unequal error protection of the compressed bitstream.
  • Integrating an efficient product code decoding technique.

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Main Results:

  • The proposed scheme demonstrates superior performance in transmitting images over wireless channels.
  • Experimental evaluations confirm the effectiveness of the combined coding approach in mitigating burst errors.
  • The system shows significant improvements compared to established robust coding schemes.

Conclusions:

  • The novel transmission scheme offers a robust and efficient solution for image communication over wireless networks.
  • The integration of advanced coding techniques effectively addresses the challenges of burst errors in image streams.
  • This approach represents a significant advancement in reliable wireless image transmission.