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Study of the effectiveness of adaptive interpolation algorithms for hierarchical image compression

A.N. Beden'gov1, M.V. Gashnikov1
1Samara State Aerospace University

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Pages: 141-145.

Abstract:
The paper estimates the efficiency limit of adaptive interpolation schemes used in the technology of hierarchical image compression. A new adaptive interpolation algorithm is proposed, based on the use of several interpolation functions and a parameterized rule for switching between them. The developed interpolation algorithm is compared with the existing ones.

Keywords:
image compression, interpolation algorithm, adaptive scheme, parameterized rule.

Citation:
Beden'gov AN, Gashnikov MV. Study of the effectiveness of adaptive interpolation algorithms for hierarchical image compression. Computer Optics 2003; 25: 141-145.

References:
  1. Aleksandrov VV, Gorsky ND. Image representation and processing: a recursive approach [In Russian]. Leningrad: "Nauka" Publisher; 1985.
  2. Kortman CM. Redundancy reduction – A practical method of data compression. Proc IEEE 1967; 55(3): 253-263.
  3. Gashnikov MV, Glumov NI, Sergeev VV. The method of image compression in operational remote sensing systems. Proceedings of the IX All-Russian Conference “Mathematical methods of pattern recognition” (ММRО-9-99) 1999: 160-163.
  4. Gashnikov MV, Glumov NI, Sergeyev VV. Compression method for real-time systems of remote sensing. Proc15th International Conference on Pattern Recognition 2000: 3: 232-235.
  5. Efimov VM, Kolesnikov AN. Effectiveness estimation of the hierarchical and line-by-line lossless compression algorithms [In Russian]. Proc 3rd All-Russian Conference “Pattern Recognition and Image Analysis: new information technologies” 1997; I: 157-161.
  6. Pratt WK. Digital image processing. 3th ed. New York: John Wiley and Sons Inc; 2002.
  7. Gashnikov MV, Glumov NI, Sergeyev VV. Adaptive interpolation algorithm for hierarchical image compression. Computer Optics 2002; 23: 89-93.

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