Image restoration techniques, iterative and non-iterative, are applied to high-speed infrared images from a ground based telescope of objects at altitudes to reduce the degradation of the images caused by atmospheric turbulence, vibration, and systematic aberrations. Comparisons are made among the following: The Wiener filter, the Richardson-Lucy method, the CLEAN algorithm, and the maximum entropy method. The Wiener and Richardson-Lucy filters are found to have the best overall performance and flexibility when the PSF is known. The Wiener filter consistently provides the shortest restoration time for each set of test images. A good estimate of the PSF, obtained using Tatians's method, is used as an input parameter for each of the restoration algorithms.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Comparison of restoration algorithms on high-altitude infrared images


    Beteiligte:

    Kongress:

    Digital Image Recovery and Synthesis III ; 1996 ; Denver,CO,United States


    Erschienen in:

    Erscheinungsdatum :

    1996-10-25





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Comparison of restoration algorithms on high-altitude infrared images [2827-21]

    Hazzard, D. A. / Giles, M. K. / SPIE | British Library Conference Proceedings | 1996


    Calibration of infrared satellite images using high altitude aircraft measurements

    Hammer, Philip D. / Gore, Warren J. Y. / Valero, Francisco P. J. | NTRS | 1989


    Calibration of infrared satellite images using high altitude aircraft measurements

    HAMMER, PHILIP / GORE, WARREN / VALERO, FRANCISCO | AIAA | 1989



    Errorless Restoration Algorithms for Band-limited Images

    Ferreira, P. J. S. G. / Pinho, A. J. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994