An Efficient Blind Image Deblurring Using a Smoothing Function

This paper introduces an efficient deblurring image method based on a convolution-based and an iterative concept. Our method does not require specific conditions on images, so it can be widely applied for unspecific generic images. The kernel estimation is firstly performed and then will be used to...

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Main Authors: Kittiya Khongkraphan, Aniruth Phonon, Sainuddeen Nuiphom
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/2021/6684345
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author Kittiya Khongkraphan
Aniruth Phonon
Sainuddeen Nuiphom
author_facet Kittiya Khongkraphan
Aniruth Phonon
Sainuddeen Nuiphom
author_sort Kittiya Khongkraphan
collection DOAJ
description This paper introduces an efficient deblurring image method based on a convolution-based and an iterative concept. Our method does not require specific conditions on images, so it can be widely applied for unspecific generic images. The kernel estimation is firstly performed and then will be used to estimate a latent image in each iteration. The final deblurred image is obtained from the convolution of the blurred image with the final estimated kernel. However, image deblurring is an ill-posed problem due to the nonuniqueness of solutions. Therefore, we propose a smoothing function, unlike previous approaches that applied piecewise functions on estimating a latent image. In our approach, we employ L2-regularization on intensity and gradient prior to converging to a solution of the deblurring problem. Moreover, our work is based on the quadratic splitting method. It guarantees that each subproblem has a closed-form solution. Various experiments on synthesized and real-world images confirm that our approach outperforms several existing methods, especially on the images corrupted by noises. Moreover, our method gives more reasonable and more natural deblurred images than those of other methods.
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institution Kabale University
issn 1687-9732
language English
publishDate 2021-01-01
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series Applied Computational Intelligence and Soft Computing
spelling doaj-art-b39dd27c74fc41ca96d7eec4229cadb32025-02-03T01:00:13ZengWileyApplied Computational Intelligence and Soft Computing1687-97322021-01-01202110.1155/2021/66843456684345An Efficient Blind Image Deblurring Using a Smoothing FunctionKittiya Khongkraphan0Aniruth Phonon1Sainuddeen Nuiphom2Faculty of Science and TechnologyFaculty of Science and TechnologyFaculty of Science and TechnologyThis paper introduces an efficient deblurring image method based on a convolution-based and an iterative concept. Our method does not require specific conditions on images, so it can be widely applied for unspecific generic images. The kernel estimation is firstly performed and then will be used to estimate a latent image in each iteration. The final deblurred image is obtained from the convolution of the blurred image with the final estimated kernel. However, image deblurring is an ill-posed problem due to the nonuniqueness of solutions. Therefore, we propose a smoothing function, unlike previous approaches that applied piecewise functions on estimating a latent image. In our approach, we employ L2-regularization on intensity and gradient prior to converging to a solution of the deblurring problem. Moreover, our work is based on the quadratic splitting method. It guarantees that each subproblem has a closed-form solution. Various experiments on synthesized and real-world images confirm that our approach outperforms several existing methods, especially on the images corrupted by noises. Moreover, our method gives more reasonable and more natural deblurred images than those of other methods.http://dx.doi.org/10.1155/2021/6684345
spellingShingle Kittiya Khongkraphan
Aniruth Phonon
Sainuddeen Nuiphom
An Efficient Blind Image Deblurring Using a Smoothing Function
Applied Computational Intelligence and Soft Computing
title An Efficient Blind Image Deblurring Using a Smoothing Function
title_full An Efficient Blind Image Deblurring Using a Smoothing Function
title_fullStr An Efficient Blind Image Deblurring Using a Smoothing Function
title_full_unstemmed An Efficient Blind Image Deblurring Using a Smoothing Function
title_short An Efficient Blind Image Deblurring Using a Smoothing Function
title_sort efficient blind image deblurring using a smoothing function
url http://dx.doi.org/10.1155/2021/6684345
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