Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain
نویسندگان
چکیده
منابع مشابه
Deconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT-domain
A novel semi-blind defocused image deconvolution technique is proposed, which is based on multivariate local polynomial regression and iterative Wiener filtering. 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 ...
متن کاملDeconvolution of Defocused Image with Multivariate Local Polynomial Regression and Iterative Wiener Filtering in DWT Domain
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 adopt...
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Shooting a real world image with a camera through an optical device gives a 2-D image where at least some parts are affected by a blur and noise. Images can be blurred by atmospheric turbulence, relative motion between sensors and objects, longer exposures, and so on, but the exact cause of blurring may be unknown. Restoration of blurred noisy images (Spiros et al., 2009; 2010; Su et al., 2007)...
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The classical theory of statistical signal extraction presupposes lengthy data sequences, which are assumed, in theory, to be doubly infinite or semi-infinite— see Whittle (1983), for example. In many practical cases, and in most econometric applications, the available data are, to the contrary, both strongly trended and of a limited duration. This paper is concerned with the theory of finite-s...
متن کاملImage denoising algorithm using doubly local Wiener filtering with block-adaptive windows in wavelet domain
Peng-lang Shui and Yong-Bo Zhao National Lab. of Radar Signal Processing, Xidian University, Xi’an, 710071, P. R. China E-mail: [email protected] [email protected] Phone: 86-29-88201022-608 86-29-88201030-605 Fax: 86-29-88236159 Abstract In this paper, we propose the block-adaptive windows that are used to upgrade the image denoising performance of the doubly local Wiener filtering method...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2010
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2010/605241