Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-09-06
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Su, Liyun& Li, Fenglan. 2010. Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-484467
Modern Language Association (MLA)
Su, Liyun& Li, Fenglan. Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain. Mathematical Problems in Engineering No. 2010 (2010), pp.1-14.
https://search.emarefa.net/detail/BIM-484467
American Medical Association (AMA)
Su, Liyun& Li, Fenglan. Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-14.
https://search.emarefa.net/detail/BIM-484467
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484467