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An Image Restoration Technique: Applications to Nuclear Medicine Images

  • Conference paper
Digitale Bildverarbeitung Digital Image Processing

Part of the book series: Informatik — Fachberichte ((INFORMATIK,volume 8))

Abstract

A new procedure for image restoration is presented which involves an estimation of the original image power spectrum to approximate the op timum linear filter. Applications to nuclear medicine images are discussed.

Work sponsored by G. N. B. C., C. N. R. contract no. 75.00431.02 and HUSPI Project.

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Bibliografia

  1. C. W. Helstrom: “Image restoration by the method of least squares” — J. Opt. Soc. Amer. 57 (1967).

    Google Scholar 

  2. D. Stepian: “Linear least-square filtering of distorted image” J. Opt. Soc. Amer. 57 (1967).

    Google Scholar 

  3. A. Papoulis: “Probability, Random variables and stockastic processes” Mc Graw-Hill New York 1965, p. 402

    Google Scholar 

  4. W. A. Hunt, M. G. Meder, P. Pistor, G. Walch, W. Y. Lorenz, H. Luig, P. Schmidlin: “Optimum sample size in digital radioscintingraphy”, IBM Publ. 70.09.004 (1970).

    Google Scholar 

  5. B. L. Phillips: “A Technique for the numerical solution of certain integral equations of the first kind” J. ACM 9 (1962), pp.84–97.

    Article  MATH  Google Scholar 

  6. B. R. Hunt:” The application of constrained least squares estimation to image restoration by digital computer” — IEEE Trans, o, Computers C-22, n.9 (1973) pp. 805–812.

    Article  Google Scholar 

  7. A. V. Oppenheim, R. W. Schafer, T. G. Stockham: “Nonlinear Filtering of Multiplied and Convolved Signals” Proc. IEEE, 56 (1968), pp. 1264–1291.

    Article  Google Scholar 

  8. B. R. Hunt: “Digital Image Processing” Proc. IEEE 63, n° 1 (1975) pp. 693–708.

    Article  Google Scholar 

  9. I. De Lotto, D. Dotti: “Two dimensional transforms by municomputers without matrix transposing” Computer Graphics and Image Processing 4 (1975) pp. 271–278.

    Article  Google Scholar 

  10. I. De Lotto, G. Iuculano: “Correlation function analysis in non-sta tionary rondom processes” Alta Frequenza 38 (1969) pp. 884–896.

    Google Scholar 

  11. V. Cantoni, I. De Lotto: “A new algorithm for image restoration” Alta Frequenza, dicembre 1976.

    Google Scholar 

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Author information

Authors and Affiliations

  1. L. A. N. - C. N. R. - C. so Carlo Alberto, 5 - Pavia, Italy

    V. Cantoni

  2. Pavia University and C. I. S. E., cp 3986, Milan, Italy

    I. De Lotto & F. Valenziano

  3. Clinica del Lavoro, Pavia University, Via Boezio, n° 23, Pavia, Italy

    A. Favino

Authors
  1. V. Cantoni
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  2. I. De Lotto
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  3. A. Favino
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  4. F. Valenziano
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Editor information

Editors and Affiliations

  1. Institut für Informatik, Universität Hamburg, Schlüterstraße 70, 2000, Hamburg 13, Deutschland

    Hans-Hellmut Nagel

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© 1977 Springer-Verlag Berlin Heidelberg

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Cite this paper

Cantoni, V., De Lotto, I., Favino, A., Valenziano, F. (1977). An Image Restoration Technique: Applications to Nuclear Medicine Images. In: Nagel, HH. (eds) Digitale Bildverarbeitung Digital Image Processing. Informatik — Fachberichte, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95298-2_14

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  • DOI: https://doi.org/10.1007/978-3-642-95298-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-08169-2

  • Online ISBN: 978-3-642-95298-2

  • eBook Packages: Springer Book Archive

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