Holographic image representations: The Fourier transform method

  • Alfred M. Bruckstein
  • Robert J. Holt
  • Arun N. Netravali
Session 9: Image Databases
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

We discuss holographic image representations. Arbitrary portions of a holographic representation enable reconstruction of the whole image, with distortions that decrease gradually with the increase of the size of the portions available. Holographic representations enable progressive refinement in image communication or retrieval tasks, with no restrictions on the order in which the data fragments (sections of the representation) are accessed or become available.

Keywords

Gray Level Image Recovery Image Communication Holographic Representation Holographic Image 
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.

References

  1. 1.
    R. N. Bracewell. The Fourier Transform and its Applications, 2nd ed. McGraw-Hill, New York, 1978.Google Scholar
  2. 2.
    A. M. Bruckstein, R. J. Holt, and A. N. Netravali. Holographic image representations. Technical Report BL0113380-961010-09TM, Bell Laboratories, Murray Hill, NJ, October 1996.Google Scholar
  3. 3.
    A. M. Bruckstein, R. J. Holt, and A. N. Netravali. Holographic image representations: the Subsampling Method. 1997 IEEE International Conference on Image Processing, Santa Barbara, CA, October 1997.Google Scholar
  4. 4.
    D. C. Munson. and J. L. C. Sanz. Image Reconstruction from Frequency-Offset Fourier Data. Proceedings of the IEEE. Vol. 72, 1984.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Alfred M. Bruckstein
    • 1
  • Robert J. Holt
    • 1
  • Arun N. Netravali
    • 1
  1. 1.Bell LaboratoriesLucent TechnologiesMurray HillUSA

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