This paper presents a new approach for restoring noisy images with a substantial number of missing samples. The system proposed is based on the linear prediction theory. The filters used are multiplierless since they have power-of-2 coefficients. This makes the algorithms fast and low cost for VLSI implementation. The system is composed of two stages. In the first one, the lost samples are recovered using the Least Mean Square (LMS)-like algorithm in which the missing samples are replaced by their estimates. In the second phase, noise is removed from the image using a genetic algorithm based linear predictor. This algorithm yields power-of-2 coefficients of the filter. The results are very promising and illustrate the performance of the multiplierless system.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiplierless algorithms for high-speed real-time onboard image processing


    Contributors:
    Rocha, K. (author) / Venkatachalam, A. (author) / Bose, T. (author) / Haupt, R.L. (author)


    Publication date :

    2002-01-01


    Size :

    1215383 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    7.0202 Multiplierless Algorithms for High-Speed Real-Time Onboard Image Processing

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002


    Real-time onboard geometric image correction

    Discenza, W. / Frippel, G. | NTRS | 1979




    Onboard image processing

    Martin, D. R. / Samulon, A. S. | NTRS | 1979