We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: modeling and the restoration algorithm. First, a model of a faxed image is presented. The model is based on an autoregressive Gauss-Markov random field and includes vertical and horizontal overlap effects. In particular, we concentrate on the nonsymmetric half plane causality. Second, the restoration of faxed images degraded by salient noise and additive white noise is considered by 2D Kalman filtering which provides an efficient recursive procedure. In order to illustrate the effectiveness of the proposed scheme, we present experimental results on the restoration of a faxed image.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Faxed image restoration using Kalman filtering


    Contributors:


    Publication date :

    1995-01-01


    Size :

    327008 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Faxed Image Restoration Using Kalman Filtering

    Yoon, M.-Y. / Lee, S.-W. / Kim, J.-S. | British Library Conference Proceedings | 1995


    Recognition of faxed documents [2181-37]

    Ricker, G. / Winkler, A. S. / SPIE et al. | British Library Conference Proceedings | 1994


    Kalman Filtering

    Grewal, Mohinder S. / Weill, Lawrence R. / Andrews, Angus P. | Wiley | 2007


    Optimal filtering and Kalman filtering using MATLAB

    Smith, P.R. / Dailly, C. | Tema Archive | 1991


    Constrained Kalman Filtering

    Ruiter, Anton H. J. de / Forbes, James Richard / Demjanenko, Maksims | AIAA | 2018