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Numerical Representation of Visual Information

  • Arun N. Netravali
  • Barry G. Haskell
Part of the Applications of Communications Theory book series

Abstract

The ability to see is one of the truly remarkable characteristics of living beings. It enables them to perceive and assimilate in a very short time an incredible amount of knowledge about the world around them. The scope and variety of that which can pass through the eye and be interpreted by the brain is nothing short of astounding. Mankind has increased this basic capability by inventing devices that can detect electromagnetic radiation at wavelengths far outside the range of normal vision and at energy levels orders of magnitude below what the eye is able to perceive by itself. By the use of X-rays or sound waves it is possible to “see” inside objects and into places that have been invisible to living beings since the dawn of creation. Ultra-fast photography can stop a speeding bullet or freeze a flying humming bird’s wing.

Keywords

Visual Information High Spatial Frequency Numerical Representation Color Match Primary Color 
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. 1.3.1
    N. S. Jayant and P. Noll, Digital Coding of Waveforms, Chapter 4, Prentice Hall, New York, 1984.Google Scholar
  2. 1.3.2
    L. D. Hammon and B. Julesz, “Masking in Visual Recognition: Effects of 2-D Filtered Noise,” Science 180, 1194–97.Google Scholar
  3. 1.5.1
    A. Papoulis, The Fourier Integral and Its Applications, McGraw-Hill, New York, 1962.MATHGoogle Scholar
  4. 1.5.2
    L. R. Rabiner and B. Gold, Theory and Application of Digital Signal Processing, Prentice-Hall, Englewood Cliffs, New Jersey, 1975.Google Scholar
  5. 1.5.3
    P. Mertz and F. Gray, “A Theory of Scanning and Its Relation to the Characteristics of the Transmitted Signal in Telephotography and Television,” BSTJ, Vol. 13, 1934, pp. 464–515.Google Scholar
  6. 1.5.4
    D. E. Pearson, Transmission and Display of Pictorial Information, Pentech Press, London, 1975.Google Scholar
  7. 1.5.5
    H. S. Hou and H. C. Andrews, “Cubic Splines for Interpolation and Filtering,” IEEE Trans. ASSP, v. ASSP-26, No. 6, 1978, pp. 508–517.Google Scholar
  8. 1.8.1
    T. Young, “On the Theory of Light and Colors,” Philosophical Transactions of the Royal Society of London; Vol. 92, 1802, pp. 20–71.Google Scholar
  9. 1.8.2
    D. L. MacAdam, Sources of Color Science, Cambridge, MA, MIT Press 1970.Google Scholar
  10. 1.8.3
    G. Wyszecki and W. S. Stiles, Color Science, John Wiley, New York, 1967.Google Scholar
  11. 1.8.4
    H. G. Grassman, “Theory of Compound Colors,” Philosophical Magazine, Vol. 4, No. 7, 1854, pp. 254–264.Google Scholar
  12. 1.8.5
    W. T. Wintringham, “Color Television and Colorimetry,” Proc. of IRE Vol. 39, No. 10, 1951, pp. 1135–1173.CrossRefGoogle Scholar
  13. 1.8.6
    D. B. Judd and G. Wyszecki, Color in Business, Science, and Industry, 2nd Edition, John Wiley amp; Sons, Inc., 1963.Google Scholar
  14. 1.8.7
    W. B. Marks, W. H. Dobelle, and E. F. MacNihol, Jr., “Visual Pigments of Single Primate Cones,” Science, Vol. 143, 1964, pp. 1181–1183.CrossRefGoogle Scholar
  15. 1.9.1
    A. N. Netravali (Editor), Digital Encoding of Graphics, Special Issue, Proceedings of IEEE, March 1980.Google Scholar
  16. 1.9.2
    D. M. Costigan, Electronic Delivery of Documents and Graphics, Van Nostrand Reinhold, 1978.Google Scholar
  17. 1.9.3
    D. Y. Coraog, and F. C. Rose, Legibility of Alphanumeric Characters and Other Symbols: II. A Reference Handbook, U. S. Government Printing Office, National Bureau of Standard Miscellaneous Publication 262-2.Google Scholar
  18. 1.9.4
    1.9.4. H. L. Snyder and M. E. Maddox, Information Transfer from Computer Generated Dot-Matrix Displays, Report, EFL-78-3/ARO-78-1, U. S. Army Research Office, North Carolina, 1978.Google Scholar
  19. 1.9.5
    J. F. Jarvis, C. N. Judice, and W. H. Ninke, “A Survey of Techniques for the Display of Continuous Tone Pictures on Bilevel Displays,” Computer Graphics and Image Processing, Vol. 5, 1976, pp. 13–40.CrossRefGoogle Scholar
  20. 1.9.6
    J. C. Stoffel and J. F. Moreland, “A Survey of Techniques for Pictorial Reproduction,” IEEE Trans, on Communications, Vol. COM-29, No. 12, December, 1981, pp. 1898–1925.Google Scholar
  21. 1.9.7
    Picture Bandwidth Compression, ed. by T. S. Huang and O. J. Tretiak, Gordon amp; Breach, 1972.Google Scholar
  22. 1.9.8
    R. B. Arps, R. L. Erdmann, A. S. Neal, and C. L. Schlaepfer, “Character Legibility Versus Resolution in Image Processing of Printed Matter,” IEEE Transactions on Man-Machine Systems, Vol. MMS-10, No. 3, pp. 66–71, 1969.CrossRefGoogle Scholar

Copyright information

© AT&T Bell Laboratories 1988

Authors and Affiliations

  • Arun N. Netravali
    • 1
  • Barry G. Haskell
    • 2
  1. 1.AT&T Bell LaboratoriesMurray HillUSA
  2. 2.AT&T Bell LaboratoriesHolmdelUSA

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