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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 31, Iss. 14 — May. 10, 1992
  • pp: 2554–2559

Error-free image compression algorithm using classifying–sequencing techniques

Jackson D. He and Eustace L. Dereniak  »View Author Affiliations


Applied Optics, Vol. 31, Issue 14, pp. 2554-2559 (1992)
http://dx.doi.org/10.1364/AO.31.002554


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Abstract

The development of a new error-free digital image compression algorithm is discussed. Without the help of any statistics information of the images being processed, this algorithm achieves average bits-per-word ratios near the entropy of the neighboring pixel differences. Because this algorithm does not involve statistical modeling, generation of a code book, or long integer–floating point arithmetics, it is simpler and, therefore, faster than the studied statistics codes, such as the Huffman code or the arithmetic code.

© 1992 Optical Society of America

History
Original Manuscript: February 22, 1991
Published: May 10, 1992

Citation
Jackson D. He and Eustace L. Dereniak, "Error-free image compression algorithm using classifying–sequencing techniques," Appl. Opt. 31, 2554-2559 (1992)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-31-14-2554


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References

  1. W. K. Pratt, Digital Image Processing (Wiley, New York, 1978), Part 6.
  2. R. C. Gonzalez, P. Wintz, Digital Image Processing (Addison-Wesley, London, 1977), Chap. 6.
  3. J. A. Stoser, J. H. Reif, ed., presented at the Data Compression Conference, Snowbird, Utah, 8–11 April 1991.
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  16. D. He, “An error-free image compression algorithm using classifying-sequencing techniques,” Ph.D. dissertation (University of Arizona, Tucson, Arizona, 1991).

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