CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Blur-Kernel Bound Estimation From Pyramid Statistics
Shaoguo Liu; Haibo Wang; Jue Wang; Chunhong Pan
Source PublicationIEEE Transactions on Circuits and Systems for Video Technology
2016-05
Volume26Issue:5Pages:1012 - 1016
AbstractThis letter presents an approach for automatically estimating the spatial bound of the blur kernel in a motion-blurred image based on the statistics of multilevel image gradients. We observe that blur has a significant impact on the histogram of oriented gradients (HOGs) at higher levels of an image pyramid, but has much less of an impact at coarser levels. Based on this fact, we estimate the spatial bound of the unknown blur kernel using a learning-based approach. We first learn a generic pyramid HOG model from natural sharp images, then given an HOG pyramid of a blurry image, we predict the corresponding model of its latent sharp image. Finally, we learn another model to predict the spatial kernel bound from the difference between the observed and the predicted HOG pyramids. Experimental results show that the proposed method can estimate accurate blur kernel sizes, enabling existing blind deconvolution methods to achieve best possible results.
KeywordBlur-kernel Bound Estimation Image Deblur Motion Deblur Motion Prior Pyramid Statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20367
Collection模式识别国家重点实验室_先进数据分析与学习
AffiliationNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shaoguo Liu,Haibo Wang,Jue Wang,et al. Blur-Kernel Bound Estimation From Pyramid Statistics[J]. IEEE Transactions on Circuits and Systems for Video Technology,2016,26(5):1012 - 1016.
APA Shaoguo Liu,Haibo Wang,Jue Wang,&Chunhong Pan.(2016).Blur-Kernel Bound Estimation From Pyramid Statistics.IEEE Transactions on Circuits and Systems for Video Technology,26(5),1012 - 1016.
MLA Shaoguo Liu,et al."Blur-Kernel Bound Estimation From Pyramid Statistics".IEEE Transactions on Circuits and Systems for Video Technology 26.5(2016):1012 - 1016.
Files in This Item: Download All
File Name/Size DocType Version Access License
07078912.pdf(2252KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shaoguo Liu]'s Articles
[Haibo Wang]'s Articles
[Jue Wang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shaoguo Liu]'s Articles
[Haibo Wang]'s Articles
[Jue Wang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shaoguo Liu]'s Articles
[Haibo Wang]'s Articles
[Jue Wang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 07078912.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.