Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors. Particularly, we use the fact that most discontinuities in the image of one sensor correspond to discontinuities in the other sensors. Two applications are presented: Increasing the resolution of a single color image by using the correlation among the three color channels, and enhancing noisy IR images.


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    Titel :

    Multi-sensor super-resolution


    Beteiligte:
    Zomet, A. (Autor:in) / Peleg, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    798837 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Super-Resolution Imaging

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    Robust super-resolution

    Zomet, A. / Rav-Acha, A. / Peleg, S. | IEEE | 2001