Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain. (6th September 2010)

• Record Type: Journal Article
• Authors: Su, Liyun; Li, Fenglan
• Other Names: Liatsis Panos Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2010(2010)
• Publication Date: 2010-09-06
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2010/605241
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.