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Automatic blur-kernel-size estimation for motion deblurring
Liu, Shaoguo1; Wang, Haibo2; Wang, Jue3; Cho, Sunghyun3; Pan, Chunhong1
Source PublicationVISUAL COMPUTER
2015-05-01
Volume31Issue:5Pages:733-746
SubtypeArticle
AbstractExisting image deblurring approaches often take the blur-kernel-size as an important manual parameter. When set improperly, this parameter can lead to significant errors in the estimated blur kernels. However, manually specifying a proper kernel size for an input image is usually a tedious trial-and-error process. In this paper, we propose a new approach for automatically estimating the underlying blur-kernel-size value that can lead to good kernel estimation. Our approach takes advantage of the autocorrelation map (automap) of image gradients that is known to reflect the motion blur information. We show that the standard automap suffers from structural edges in the image and cannot be directly used for kernel size estimation. To alleviate this problem, we develop a modified automap method that contains a directional attenuation component, which can effectively reduce the influence of structural edges, leading to more accurate and reliable kernel size estimation. Experimental results suggest that the proposed approach can help state-of-the-art deblurring algorithms achieve accurate kernel estimation without relying on manual parameter tweaking.
KeywordImage Deblurring Blur-kernel-size Motion Blur Prior Autocorrelation Directional Attenuation
WOS HeadingsScience & Technology ; Technology
WOS KeywordBLIND DECONVOLUTION ; SINGLE IMAGE ; IDENTIFICATION ; RESTORATION ; ALGORITHMS ; TRANSFORM ; LINES
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000353831400017
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8118
Collection模式识别国家重点实验室_先进数据分析与学习
Affiliation1.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
2.Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China
3.Adobe Res, Seattle, WA USA
Recommended Citation
GB/T 7714
Liu, Shaoguo,Wang, Haibo,Wang, Jue,et al. Automatic blur-kernel-size estimation for motion deblurring[J]. VISUAL COMPUTER,2015,31(5):733-746.
APA Liu, Shaoguo,Wang, Haibo,Wang, Jue,Cho, Sunghyun,&Pan, Chunhong.(2015).Automatic blur-kernel-size estimation for motion deblurring.VISUAL COMPUTER,31(5),733-746.
MLA Liu, Shaoguo,et al."Automatic blur-kernel-size estimation for motion deblurring".VISUAL COMPUTER 31.5(2015):733-746.
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