Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT-domain
نویسنده
چکیده
A novel semi-blind defocused image deconvolution technique is proposed, which is based on multivariate local polynomial regression and iterative Wiener filtering. In this technique, firstly a multivariate local polynomial regression model 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 and real blurred image. Results show that the proposed PSF parameter estimation technique is effective.
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