A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises

Blurred image restoration poses a great challenge under the non-Gaussian noise environments in various communication systems. In order to restore images from blur and alpha-stable noise while also preserving their edges, this paper proposes a variational method to restore the blurred images with alp...

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Main Authors: Zhenzhen Yang, Zhen Yang, Guan Gui
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/4/1175
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author Zhenzhen Yang
Zhen Yang
Guan Gui
author_facet Zhenzhen Yang
Zhen Yang
Guan Gui
author_sort Zhenzhen Yang
collection DOAJ
description Blurred image restoration poses a great challenge under the non-Gaussian noise environments in various communication systems. In order to restore images from blur and alpha-stable noise while also preserving their edges, this paper proposes a variational method to restore the blurred images with alpha-stable noises based on the property of the meridian distribution and the total variation (TV). Since the variational model is non-convex, it cannot guarantee a global optimal solution. To overcome this drawback, we also incorporate an additional penalty term into the deblurring and denoising model and propose a strictly convex variational method. Due to the convexity of our model, the primal-dual algorithm is adopted to solve this convex variational problem. Our simulation results validate the proposed method.
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spelling doaj.art-8837fc9311a8471d87d8f0ad606f31fa2022-12-22T04:21:08ZengMDPI AGSensors1424-82202018-04-01184117510.3390/s18041175s18041175A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable NoisesZhenzhen Yang0Zhen Yang1Guan Gui2National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaNational Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaNational Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaBlurred image restoration poses a great challenge under the non-Gaussian noise environments in various communication systems. In order to restore images from blur and alpha-stable noise while also preserving their edges, this paper proposes a variational method to restore the blurred images with alpha-stable noises based on the property of the meridian distribution and the total variation (TV). Since the variational model is non-convex, it cannot guarantee a global optimal solution. To overcome this drawback, we also incorporate an additional penalty term into the deblurring and denoising model and propose a strictly convex variational method. Due to the convexity of our model, the primal-dual algorithm is adopted to solve this convex variational problem. Our simulation results validate the proposed method.http://www.mdpi.com/1424-8220/18/4/1175image deblurringvariational methodalpha-stable noiseprimal-dual algorithmtotal variational
spellingShingle Zhenzhen Yang
Zhen Yang
Guan Gui
A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
Sensors
image deblurring
variational method
alpha-stable noise
primal-dual algorithm
total variational
title A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
title_full A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
title_fullStr A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
title_full_unstemmed A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
title_short A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
title_sort convex constraint variational method for restoring blurred images in the presence of alpha stable noises
topic image deblurring
variational method
alpha-stable noise
primal-dual algorithm
total variational
url http://www.mdpi.com/1424-8220/18/4/1175
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