Robust Image Coding and Transport in Wireless Networks Using Non-Hierarchical Decomposition

  • Yao Wang
  • Doo-Man Chung


This paper proposes the use of multiple description coding for reliable image transmission in wireless networks. Specifically, we propose to use non-hierarchical decomposition to split an original image into several equally important sub-images, which are then coded and transmitted independently. The decomposition is accomplished by down-sampling the original image using multiple interleaving sampling lattices. We also present a method for estimating the original image from partially received sub-images. Finally, we examine the trade-offs between coding efficiency and reconstruction quality achievable by using different pre-filters in the decomposition process.


Original Image Reconstructed Image Quantization Error Enhancement Layer Reconstruction Quality 
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  1. [1]
    M. Kansari et al.,“Low bit rate video transmission over fading channels for wireless microcellular systems,” IEEE Trans. Circuits and Systems on Video Technology,vol. 6, pp. 1–11, Feb. 1996.Google Scholar
  2. [2]
    J. K. Wolf, A. Wyner, and J. Ziv, “Source coding for multiple descriptions,” The Bell System Technical Journal, vol. 59, pp. 1417–1426, Oct. 1980.MathSciNetMATHGoogle Scholar
  3. [3]
    L. Ozarow, “On a source coding problem with two channels and three receivers,” The Bell System Technical Journal, vol. 59, p. 1921, Dec. 1980.MathSciNetGoogle Scholar
  4. [4]
    N. S. Jayant, “Subsampling of a DPCM speech channel to provide two `self-contained’ half-rate channels,” The Bell System Technical Journal, vol. 60, pp. 501–509, Apr. 1981.Google Scholar
  5. [5]
    V. A. Vaishampayan, “Design of multiple description scalar quantizer,” IEEE Trans. Inform. Theory, vol. 39, pp. 821–834, May 1993.MATHCrossRefGoogle Scholar
  6. [6]
    Y. Wang, Q.-F. Zhu, and L. Shaw, “Maximally smooth image recovery in transform coding,” IEEE Trans. Commun., vol. 41, pp. 1544–1551, Oct. 1993.MATHCrossRefGoogle Scholar
  7. [7]
    W. Zhu and Y. Wang, “A comparison of smoothness measures for error concealment in transform coding,” in Proc. SPIE Int. Conf. Visual Communications and Image Processing, ( Taipei, ROC ), 1995.Google Scholar
  8. [8]
    M. Vetterli and J. Kovacevic, Wavelets and subband coding. Prentice Hall, 1995.Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Yao Wang
    • 1
  • Doo-Man Chung
    • 1
  1. 1.Department of Electrical EngineeringPolytechnic UniversityBrooklynUSA

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