A novel semi-blind defocused image deconvolution technique is proposed, which is based on RBF neural network and iterative Wiener filtering. In this technique, firstly a RBF neural network is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF) parameter, iterative Wiener filter is adopted to complete the restoration. We experimentally illustrate its performance on simulated data. Results show that the proposed PSF parameter estimation technique is effective and has high performance.


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    Title :

    Defocused Image Restoration Using RBF Network and Iterative Wiener Filter in Wavelet Domain


    Contributors:
    Su, Li-yun (author) / Li, Feng-lan (author) / Xu, Feng (author) / Liu, Yu-ran (author)


    Publication date :

    2008-05-01


    Size :

    305735 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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