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Construction of wavelet decompositions for tomographic images

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Abstract

In tomography an image is reconstructed from its projections from different directions. In this paper we study the reconstruction of a tomographic image from the wavelet transform of its projections with a 1-D analyzing wavelet. We then show that it allows us to reconstruct a 2-D wavelet decomposition of the image. The properties of the generated 2-D analyzing wavelet are studied. When the 1-D analyzing wavelet is even, the 2-D analyzing wavelet is isotropic. The extension of this idea to directional wavelets is also presented. The wavelet transform obtained in this case is defined with respect to a scale parameter and a rotation angle. For illustration, results on simulated and x-ray computerized tomography medical images are presented.

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References

  1. S. Mallat, “Multiresolution approximation and wavelet orthonormal bases ofL 2(R),”Trans. AMS, vol. 315, 1989, pp. 69–87.

    Google Scholar 

  2. S. Mallat and S. Zhong, “Wavelet maxima representations,” inWavelets and Applications, Y. Meyer, ed., Masson, Paris, 1992, pp. 207–284.

    Google Scholar 

  3. M. Antonini, M. Barlaud, and P. Mathieu, “Digital image compression using vector quantization and the wavelet transform,” inWavelets and Applications, Y. Meyer, ed., Masson, Paris, 1992, pp. 160–174.

    Google Scholar 

  4. C. Gasquet and P. Witomski,Analyse de Fourier et applications, filtrage, calcul numérique, ondelettes, Masson, Paris, 1990.

    Google Scholar 

  5. I. Daubechies,Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1992.

    Google Scholar 

  6. A. Arneodo, G. Grasseau, and M. Holdshneider, “Wavelet transform of multifractals,”Phys. Rev. Lett. vol. 61, 1988, pp. 2281–2284.

    Google Scholar 

  7. A. Cohen, “Ondelettes, analyse multirésolution et filters miroirs en quadrature,”Ann. Inst. H. Poincaré Anal. Non Linéaire, vol. 7, 1990, pp. 439–459.

    Google Scholar 

  8. J.P. Antoine, “Wavelet analysis in image processing,” inProc. EUSIPCO-92, Brussels, September 1992, pp. 23–30.

  9. J.P. Antoine, “Image analysis with two-dimensional continuous wavelet transform,” preprint, 1992.

  10. G.T. Herman,Image Reconstruction from Projections: The Fundamentals of Computerized Tomography, Academic Press, New York, 1980.

    Google Scholar 

  11. F. Peyrin, “Méthodes de reconstruction d'images 3D à partir de projections coniques de rayons X,” doctoral thesis, INSA, Lyon, France, 1990, p. 56.

    Google Scholar 

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Peyrin, F., Zaim, M. & Goutte, R. Construction of wavelet decompositions for tomographic images. J Math Imaging Vis 3, 105–122 (1993). https://doi.org/10.1007/BF01248406

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