scholarly journals Defocused Image Restoration with Local Polynomial Regression and IWF

10.5772/36363 ◽  
2012 ◽  
Author(s):  
Liyun Su
Keyword(s):  
Image Restoration ◽  
Polynomial Regression ◽  
Local Polynomial Regression ◽  
Local Polynomial ◽  
Defocused Image

scholarly journals Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Liyun Su ◽  
Fenglan Li
Keyword(s):  
Polynomial Regression ◽  
Wiener Filter ◽  
Simulated Data ◽  
Wiener Filtering ◽  
Image Deconvolution ◽  
Local Polynomial Regression ◽  
Local Polynomial ◽  
Multivariate Local Polynomial Regression ◽  
Restoration Method ◽  
Defocused Image

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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