Soft constraints are introduced in an iterative projection approach, in order to make the set of constraints compatible for the case of noisy measurements. The degrees of freedom in the design are then used to arrive at a computationally simple form of the soft constraint algorithm. Simulation shows that the true solution is still feasible under noisy conditions, a property lost with the use of hard constraint algorithms.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Soft constraint iterative reconstruction from noisy projections


    Additional title:

    Schwache Zwaenge in einem iterativen Rekonstruktionsverfahren zur Projektion von Rauscheigenschaften


    Contributors:
    Blex, A.A. (author)


    Publication date :

    1984


    Size :

    4 Seiten, 3 Bilder, 4 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    SDART: An algorithm for discrete tomography from noisy projections

    Bleichrodt, F. / Tabak, F. / Batenburg, K. J. | British Library Online Contents | 2014



    A Statistical Detection of an Anomaly/Target from Noisy Tomographic Projections

    Fillatre, L. / Nikiforov, I. / IEEE | British Library Conference Proceedings | 2003


    Reconstruction from Projections Using Grassmann Tensors

    Hartley, R. I. / Schaffalitzky, F. | British Library Online Contents | 2009


    On the Accuracy of 3-D Scene Reconstruction on the Basis of a Set of Noisy Stereo Projections

    Efimov, V. M. / Kirichuk, V. S. / Kolesnikov, A. N. et al. | British Library Online Contents | 1999