一种基于L0正则化的模糊复原算法
针对运动模糊问题,借助正则化思想,提出基于L0正则化约束以及自然图像梯度分布的先验模型,给出求取模糊核的复原算法。采用T-smooth技术对图像的梯度进行筛选,提取出有利于模糊信息求解的有效边缘,并使用得到的中间结果修正模糊核,从而求得准确的模糊核和清晰图像,利用双边滤波器抑制图像非盲去卷积过程中引入的振铃效应。实验结果表明,该算法具有较好的鲁棒性,可有效地去除运动模糊和抑制振铃效应,得到高质量的复原结果。...
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| Published in | 计算机工程 Vol. 42; no. 1; pp. 254 - 259 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
光电控制技术重点实验室,河南洛阳471023%合肥工业大学计算机与信息学院,合肥,230009%合肥工业大学计算机与信息学院,合肥230009
2016
合肥工业大学计算机与信息学院,合肥230009 合肥师范学院公共计算机教学部,合肥230601 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1000-3428 |
| DOI | 10.3969/j.issn.1000-3428.2016.01.045 |
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| Abstract | 针对运动模糊问题,借助正则化思想,提出基于L0正则化约束以及自然图像梯度分布的先验模型,给出求取模糊核的复原算法。采用T-smooth技术对图像的梯度进行筛选,提取出有利于模糊信息求解的有效边缘,并使用得到的中间结果修正模糊核,从而求得准确的模糊核和清晰图像,利用双边滤波器抑制图像非盲去卷积过程中引入的振铃效应。实验结果表明,该算法具有较好的鲁棒性,可有效地去除运动模糊和抑制振铃效应,得到高质量的复原结果。 |
|---|---|
| AbstractList | 针对运动模糊问题,借助正则化思想,提出基于L0正则化约束以及自然图像梯度分布的先验模型,给出求取模糊核的复原算法。采用T-smooth技术对图像的梯度进行筛选,提取出有利于模糊信息求解的有效边缘,并使用得到的中间结果修正模糊核,从而求得准确的模糊核和清晰图像,利用双边滤波器抑制图像非盲去卷积过程中引入的振铃效应。实验结果表明,该算法具有较好的鲁棒性,可有效地去除运动模糊和抑制振铃效应,得到高质量的复原结果。 TP301.6; 针对运动模糊问题,借助正则化思想,提出基于L0正则化约束以及自然图像梯度分布的先验模型,给出求取模糊核的复原算法.采用T-smooth技术对图像的梯度进行筛选,提取出有利于模糊信息求解的有效边缘,并使用得到的中间结果修正模糊核,从而求得准确的模糊核和清晰图像,利用双边滤波器抑制图像非盲去卷积过程中引入的振铃效应.实验结果表明,该算法具有较好的鲁棒性,可有效地去除运动模糊和抑制振铃效应,得到高质量的复原结果. |
| Author | 方帅 范东 于磊 曹风云 |
| AuthorAffiliation | 合肥工业大学计算机与信息学院,合肥230009 合肥师范学院公共计算机教学部,合肥230601 光电控制技术重点实验室,河南洛阳471023 |
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| Author_FL | YU Lei CAO Fengyun FANG Shuai FAN Dong |
| Author_FL_xml | – sequence: 1 fullname: FANG Shuai – sequence: 2 fullname: FAN Dong – sequence: 3 fullname: YU Lei – sequence: 4 fullname: CAO Fengyun |
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| ClassificationCodes | TP301.6 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.3969/j.issn.1000-3428.2016.01.045 |
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| DocumentTitleAlternate | A Blur Restoration Algorithm Based on L0 Regularization |
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| EndPage | 259 |
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| Keywords | 振铃效应 运动模糊 image restoration 图像复原 盲去卷积 L0 regularization ringing effect L0正则化 motion blur blind deconvolution |
| Language | Chinese |
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| Notes | L0 regularization; image restoration; blind deconvolution; motion blur; ringing effect FANG Shuai,FAN Dong,YU Lei,CAO Fengyun （1. College of Computer and Information, Hefei University of Technology, Hefei 230009, China; 2. Department of Public Computer Teaching, Hefei Normal University, Hefei 230601, China; 3. Key Laboratory of Opto-Electronic Control Technology, Luoyang, Henan 471023, China） 31-1289/TP Aiming at the motion blur,a new blind deblurring algorithm is proposed,which is based on the LO regularization restraints and the prior knowledge of natural image gradient distribution to obtain the real motion kernel.In the proposed methods,T-smooth technology is employed to screen the effective edge which is advantageous to estimate motion information.The refined motion kernel and a clean image are approximated by iterations.The bilateral filter is applied to non-blind deconvolution in order to inhibit the ringing effect.Experimental results demonstrate that compared with the previous approaches,the algorithm c |
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| PublicationTitle | 计算机工程 |
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| PublicationYear | 2016 |
| Publisher | 光电控制技术重点实验室,河南洛阳471023%合肥工业大学计算机与信息学院,合肥,230009%合肥工业大学计算机与信息学院,合肥230009 合肥工业大学计算机与信息学院,合肥230009 合肥师范学院公共计算机教学部,合肥230601 |
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| Snippet | 针对运动模糊问题,借助正则化思想,提出基于L0正则化约束以及自然图像梯度分布的先验模型,给出求取模糊核的复原算法。采用T-smooth技术对图像的梯度进行筛选,提取出有利于模... TP301.6; 针对运动模糊问题,借助正则化思想,提出基于L0正则化约束以及自然图像梯度分布的先验模型,给出求取模糊核的复原算法.采用T-smooth技术对图像的梯度进行筛选,提取... |
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| StartPage | 254 |
| SubjectTerms | L0正则化 图像复原 振铃效应 盲去卷积 运动模糊 |
| Title | 一种基于L0正则化的模糊复原算法 |
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