A scale-recursive Kalman filtering on multiscale images from coarse scale to fine scale is proposed which is a generalization of Chou and Willsky's (see Tech. Report CICS-P-333, Center for Intelligent Control System, MIT, May, 1992) model. Through the use of wavelet packet transform, an efficient, highly parallel algorithm has been developed. This scale filtering method can be used to statistically fuse multisensor multiresolution images.<>


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    Title :

    Multiscale 2D Kalman filtering based on wavelet transform


    Contributors:


    Publication date :

    1994-01-01


    Size :

    389059 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multiscale 2D Kalman Filtering Based on Wavelet Transform

    Hsin, H.-C. / Li, C.-C. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994




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