Dual-Channel Contrast Prior for Blind Image Deblurring
In this article, a dual-channel contrast prior (Dual-CP) is proposed for blind image deblurring. The prior is motivated by the observation that image contrast will significantly degenerate after the blurring process, which is proved in both mathematically and empirically. Based on this inherent prop...
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Format: | Article |
Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9298847/ |
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author | Dayi Yang Xiaojun Wu |
author_facet | Dayi Yang Xiaojun Wu |
author_sort | Dayi Yang |
collection | DOAJ |
description | In this article, a dual-channel contrast prior (Dual-CP) is proposed for blind image deblurring. The prior is motivated by the observation that image contrast will significantly degenerate after the blurring process, which is proved in both mathematically and empirically. Based on this inherent property of the blurring process, we analyze the variation of contrast influenced by blur and research the feasibility for using contrast prior to estimate blur kernel. We model the contrast by the difference between the dark channel and the bright channel. By maximizing the contrast in the local patch, we can obtain a reliable result which contains sharp edges and is beneficial for kernel estimation. To solve this non-convex nonlinear problem, we develop an efficient optimization method with the auxiliary variable idea and alternate direction minimization. Extensive experiments on real and synthetic blurry sets demonstrate that the proposed algorithm has good performance and exhibits competitiveness compared with state-of-the-art methods. Besides, we show that the proposed method can be applied to non-uniform deblurring. |
first_indexed | 2024-04-12T04:58:21Z |
format | Article |
id | doaj.art-971e461227e6401f97691198822e91db |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-12T04:58:21Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-971e461227e6401f97691198822e91db2022-12-22T03:47:03ZengIEEEIEEE Access2169-35362020-01-01822787922789310.1109/ACCESS.2020.30458579298847Dual-Channel Contrast Prior for Blind Image DeblurringDayi Yang0https://orcid.org/0000-0003-1747-1987Xiaojun Wu1School of Internet of Things Engineering, Jiangnan University, Wuxi, ChinaSchool of Internet of Things Engineering, Jiangnan University, Wuxi, ChinaIn this article, a dual-channel contrast prior (Dual-CP) is proposed for blind image deblurring. The prior is motivated by the observation that image contrast will significantly degenerate after the blurring process, which is proved in both mathematically and empirically. Based on this inherent property of the blurring process, we analyze the variation of contrast influenced by blur and research the feasibility for using contrast prior to estimate blur kernel. We model the contrast by the difference between the dark channel and the bright channel. By maximizing the contrast in the local patch, we can obtain a reliable result which contains sharp edges and is beneficial for kernel estimation. To solve this non-convex nonlinear problem, we develop an efficient optimization method with the auxiliary variable idea and alternate direction minimization. Extensive experiments on real and synthetic blurry sets demonstrate that the proposed algorithm has good performance and exhibits competitiveness compared with state-of-the-art methods. Besides, we show that the proposed method can be applied to non-uniform deblurring.https://ieeexplore.ieee.org/document/9298847/Blind image deblurringcontrastdual-channel contrast prior |
spellingShingle | Dayi Yang Xiaojun Wu Dual-Channel Contrast Prior for Blind Image Deblurring IEEE Access Blind image deblurring contrast dual-channel contrast prior |
title | Dual-Channel Contrast Prior for Blind Image Deblurring |
title_full | Dual-Channel Contrast Prior for Blind Image Deblurring |
title_fullStr | Dual-Channel Contrast Prior for Blind Image Deblurring |
title_full_unstemmed | Dual-Channel Contrast Prior for Blind Image Deblurring |
title_short | Dual-Channel Contrast Prior for Blind Image Deblurring |
title_sort | dual channel contrast prior for blind image deblurring |
topic | Blind image deblurring contrast dual-channel contrast prior |
url | https://ieeexplore.ieee.org/document/9298847/ |
work_keys_str_mv | AT dayiyang dualchannelcontrastpriorforblindimagedeblurring AT xiaojunwu dualchannelcontrastpriorforblindimagedeblurring |