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On a bound on signal-to-noise ratio in subband coding of Gaussian image process

  • Zoran Bojković
  • Dragorad Milovanović
  • Andreja Samčović
Image Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 719)

Abstract

The purpose of this paper is to analyze a bound on signal-to-noise ratio SNR in subband coding of Gaussian image process. For the proposed method optimization distortion-rate function as a fidelity measure is applied. The theoretical 1imit of a bound on SNR is obtained to be about 52 dB for a given Gaussian image power spectral density. The proposed method requires low computer cost because of its complexity compared to some other subband coding schemes.

Keywords

Gaussian Image Pulse Code Modulation Average Distortion Differential Pulse Code Modulation Propose Method Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    J.W.Woods and S.D.O'Neil, “Subband coding of images”, IEEE Trans.Acoust.Speech, Signal Processing, vol.ASSP-34, pp 1278–1288, Oct. 1986Google Scholar
  2. [2]
    T.Berger, Rate Distortion Theory, Englewood Cliffs, NJ:Prentice-Hall, 1971Google Scholar
  3. [3]
    Z.Bojković: “Some Results in Image Subband Coding”, presented at The University of Texas at Arlington, Department of Electrical Engineering Seminar, April 1993Google Scholar
  4. [4]
    N.S.Jayant and P.Noll, Digital Coding of Waveforms, Englewood Cliffs, NJ: Prentice-Hall, 1984Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Zoran Bojković
    • 1
  • Dragorad Milovanović
    • 2
  • Andreja Samčović
    • 1
  1. 1.Department of Transport and Traffic EngineeringUniversity of BelgradeBelgrade
  2. 2.Department of Electrical EngineeringUniversity of BelgradeBelgrade

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