scholarly journals Defocused Image Restoration with Wiener Filter and Ringing Suppression

2015 ◽  
Vol 04 (04) ◽  
pp. 87-93
Author(s):  
满芳 唐
2011 ◽  
Vol 19 (12) ◽  
pp. 3049-3055
Author(s):  
温博 WEN Bo ◽  
张启衡 ZHANG Qi-heng ◽  
张建林 ZHANG Jian-lin

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Liyun Su ◽  
Fenglan Li

A novel semiblind defocused image deconvolution technique is proposed, which is based on multivariate local polynomial regression (MLPR) and iterative Wiener filtering (IWF). 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 and the image restoration method are effective.


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