In this work we propose an adaptive resolution restoration algorithm for sequence of images that considers the subpixel contribution of each frame. The Regularized Least-Squares (RLS) algorithm is modified to include an extra regularization. In many previous works, it is considered regularization to mitigate only the degradation due to noise. The proposed algorithm also mitigates the distortions caused by the subsampling process. The contribution from additional frames is exploited by estimating the subpixel displacements. The pixels amplitudes from other frames, displaced by subpixel distances, provide additional information to mitigate degradations due to undersampling, like the aliasing. The extra regularization adapts according to the frames contributions. In the motion estimation step only the reliable displacement vectors are chosen for the restoration process. The proposed model significantly improves the objective (SNR) and the subjective (visual) image quality.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive regularization for resolution restoration of multiframes considering subpixel contributions


    Beteiligte:
    Zibetti, M.V.W. (Autor:in) / Mayer, J. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    348979 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Adaptive Regularization for Resolution Restoration of Multiframes Considering Subpixel Contributions

    Zibetti, M. V. W. / Mayer, J. / IEEE | British Library Conference Proceedings | 2003


    MPMAP super-resolution image restoration algorithm based on multiframes or multisensors [4925-02]

    Su, B. H. / Jin, W. Q. / Society of Photo-optical Instrumentation Engineers et al. | British Library Conference Proceedings | 2002


    Correlation and subpixel resolution: fast 2-D subpixel displacement estimation

    Wan, Min / Healy, John J. / Sheridan, John T. | British Library Conference Proceedings | 2021


    Adaptive regularization in image restoration by unsupervised learning

    Wong, H.-S. / Guan, L. | British Library Online Contents | 1998