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.
Defocused Image Restoration Using RBF Network and Iterative Wiener Filter in Wavelet Domain
2008 Congress on Image and Signal Processing ; 3 ; 311-315
2008-05-01
305735 byte
Conference paper
Electronic Resource
English
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