• DocumentCode
    2706762
  • Title

    A multiresolution image restoration method for photon imaging systems

  • Author

    Jammal, Ghada ; Bijaoui, Albert

  • Author_Institution
    Inst. fur Netwerk und Signaltheor., Tech. Univ. Darmstadt, Germany
  • Volume
    6
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    3401
  • Abstract
    Nuclear medicine imaging systems rely on photon detection as the basis of image formation. One of the major sources of error in these imaging systems is Poisson noise. In this paper, we develop a novel multiscale image restoration procedure for photon imaging systems. It consists in separating in the wavelet-domain data points which belong to structures from those due to the noisy background. The latter are replaced by coefficients obtained by the introduction of a multiresolution regularity constraint. The restored image represents therefore a compromise between fidelity of the data and fidelity of the a priori knowledge on the smoothness of the solution. The performance of the method is assessed with simulated data experiments
  • Keywords
    image resolution; image restoration; medical image processing; noise; radioisotope imaging; wavelet transforms; Poisson noise; fidelity; image formation; multiresolution image restoration method; multiresolution regularity constraint; multiscale image restoration procedure; noisy background; nuclear medicine imaging systems; photon detection; photon imaging systems; restored image; smoothness; wavelet-domain data points; Background noise; Image resolution; Image restoration; Medical simulation; Nuclear medicine; Optical imaging; Pharmaceuticals; Signal resolution; Wavelet analysis; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.757572
  • Filename
    757572