Deconvolution of defocused image with multivariate local polynomial regression and iterative Wiener filtering in DWT domain
type: Item
instance of: scholarly article
title: Deconvolution of defocused image with multivariate local polynomial regression and iterative Wiener filtering in DWT domain
zbMATH Open document ID: 1195.94016
DOI: 10.1155/2010/605241
author: Fenglan Li
author: Liyun Su
published in: Mathematical Problems in Engineering
publication date: 2010-09-30T00:00:00Z
full work available at URL: https://eudml.org/doc/231388
review text: Summary: 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.
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 5793774
Wikidata QID: Q58653213
MaRDI profile type: Publication
OpenAlex ID: W1968787332
cites work: Applications of the Moore-Penrose inverse in digital image restoration
cites work: Digital image reconstruction in the spectral domain utilizing the Moore-Penrose inverse
cites work: Digital image inverse filtering for improving visual acuity for computer users with visual aberrations
cites work: Adaptively regularized constrained total least-squares image restoration
cites work: A new method for parameter estimation of edge-preserving regularization in image restoration
cites work: Approximation BFGS methods for nonlinear image restoration
cites work: Multichannel blind iterative image restoration
cites work: An EM algorithm for wavelet-based image restoration
cites work: Identification and restoration of noisy blurred images using the expectation-maximization algorithm
cites work: Q4346204
cites work: Q3125064
cites work: Prediction of multivariate chaotic time series with local polynomial fitting
cites work: WAVELET-CONSTRAINED IMAGE RESTORATION
cites work: BLIND IMAGE RESTORATION BY COMBINING WAVELET TRANSFORM AND RBF NEURAL NETWORK
cites work: SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field
cites work: A wavelet interpolation Galerkin method for the simulation of MEMS devices under the effect of squeeze film damping
Recommended article: A deconvolution technique using optimal Wiener filtering and regularization
Recommended article: Regularized iterative Weiner filter method for blind image deconvolution
Recommended article: Deconvolution: a wavelet frame approach
Recommended article: Image Deconvolution With Multi-Stage Convex Relaxation and Its Perceptual Evaluation
Recommended article: Q4343566
Recommended article: Q3536849
Recommended article: A BREGMAN ITERATIVE REGULARIZATION METHOD FOR WAVELET-BASED IMAGE DEBLURRING
Recommended article: Q2993177
Recommended article: Image deconvolution using a characterization of sharp images in wavelet domain
Recommended article: Precise multidimensional deconvolution using the polynomial algebra concept
description: scientific article; zbMATH DE number 5793774