Fisheye cameras are widely adopted in the back view camera of vehicles and the surveillance camera. Compared to the normal digital cameras, their resolution and image quality are low. In this paper, we propose a method to restore the high resolution images from the fisheye camera by the reconstructed type of super resolution. First, we undistort the fisheye images and regularize these images. Then we super-resolve these regularized images. Blur kernel for super resolution includes the lens blur and the expansion and reduction by the undistortion. The experimental results confirms to the effectiveness of our method which applies to the images captured by the digital camera with fish-eye lens.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Super resolution of fisheye images captured by on-vehicle camera for visibility support


    Contributors:


    Publication date :

    2015-11-01


    Size :

    1394302 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Mosaicing of camera-captured document images

    Liang, J. / DeMenthon, D. / Doermann, D. | British Library Online Contents | 2009


    Wide rear vehicle recognition using a fisheye lens camera image

    Jeong, Jin-Seong / Kim, Hyun-Tae / Kim, Bruce et al. | IEEE | 2016


    Object Detection and Classification Using a Rear In-Vehicle Fisheye Camera

    Tadjine, HadjHamma / Hess, Markus / Karsten, Schulze | Springer Verlag | 2012