In this paper, results are presented which demonstrate the removal of image defocus and motion blur effects using an algorithm based on nonlinear interpolative vector quantization (NLIVQ). The algorithm is trained on original and diffraction-limited image pairs which are representative of the class of images of interest. The discrete cosine transform is used in the code-book design process to control complexity. Imagery processed with this algorithm demonstrate both qualitative and quantitative improvements (as measured by the peak signal-to-noise-ratio before and after processing).


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    Title :

    Removal of image defocus and motion blur effects with a nonlinear interpolative vector quantizer


    Contributors:


    Publication date :

    1998-01-01


    Size :

    1511996 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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