This paper presents a technique for blindly removing image non-linearities in the absence of any calibration information or explicit knowledge of the imaging device. The basic approach exploits the fact that a non-linearity introduces specific higher-order correlations in the frequency domain (beyond second-order). These correlations can be detected using tools from polyspectral analysis. The non-linearities can then be estimated and removed by simply minimizing these correlations.


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    Title :

    Blind removal of image non-linearities


    Contributors:
    Faird, H. (author) / Popescu, A.C. (author)


    Publication date :

    2001-01-01


    Size :

    753194 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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