A robust approach for super-resolution is, presented, which is especially valuable in the presence of outliers. Such outliers may be due to motion errors, inaccurate blur models, noise, moving objects, motion blur etc. This robustness is needed since super-resolution methods are very sensitive to such errors. A robust median estimator is combined in an iterative process to achieve a super resolution algorithm. This process can increase resolution even in regions with outliers, where other super resolution methods actually degrade the image.


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    Title :

    Robust super-resolution


    Contributors:
    Zomet, A. (author) / Rav-Acha, A. (author) / Peleg, S. (author)


    Publication date :

    2001-01-01


    Size :

    1258115 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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