Turbulent disturbance brings about the spatially varying blur in captured images. Turbulent disturbance brings about the spatially varying blur in captured images. In this paper, we proposed a deep learning method to deal with this problem. And the way we approximate the kernel is closer to the real turbulent circumstance. Experiments on both synthetic and real images show that our proposed method can effectively mitigate the turbulent blur from a single image, quantitatively and qualitatively outperforms the single Preprint submitted to Neurocomputing August 23, 2023frame based methods as well as yields comparable results to multi-frame methods.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Kernel Estimation for Turbulent Blur Correction


    Beteiligte:
    Luo, Junming (Autor:in)


    Erscheinungsdatum :

    2023-10-11


    Format / Umfang :

    3047616 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Blur correction device and imaging device

    FURUKAWA MASAHIDE / SUGIYAMA YOSHINORI | Europäisches Patentamt | 2021

    Freier Zugriff

    BNRFBE Method for Blur Estimation in Document Images

    Kieu, Van Cuong / Cloppet, Florence / Vincent, Nicole | British Library Conference Proceedings | 2015


    Range Estimation from Camera Blur by Regularized Adaptive Identification

    Holeva, L. F. / SPIE | British Library Conference Proceedings | 1993


    Depth Estimation of A Monocular Image from Image Blur

    Deng, Zhonghai / Zhang, Jingyuan | British Library Conference Proceedings | 2014


    Double Regularized Bayesian Estimation for Blur Identification in Video Sequences

    Zheng, Hongwei / Hellwich, Olaf | Springer Verlag | 2006