Knowledge Commons of Institute of Automation,CAS
Single-image motion deblurring using an adaptive image prior | |
He, Ning1; Lu, Ke2; Bao, Bing-Kun3; Zhang, Lu-Lu1; Wang, Jin-Bao1 | |
发表期刊 | INFORMATION SCIENCES |
2014-10-10 | |
卷号 | 281页码:736-749 |
文章类型 | Article |
摘要 | Blind deblurring is the restoration of a sharp image from a blurred image when the blur kernel is unknown. Most image deblurring algorithms impose a uniform sparse gradient prior on the whole image, and reconstruct the image with piecewise smooth characteristics. Although the sparse gradient prior removes ringing and noise artifacts, it inevitably removes mid-frequency structures, leading to poor visual quality. The gradient profile of fractal-like structures is close to a Gaussian distribution, and small gradients from such regions are severely penalized by the sparse gradient prior. In this paper, we introduce an image deblurring algorithm that adapts the image prior to the underlying detailed structures. The statistics of a local detailed structure can be different from those of the global structure. By identifying the correct image prior for each pixel in the image, our approach models the spatially varying motion blur exhibited by camera motion more effectively than conventional methods based on space-invariant blur kernels. Using different priors for the local region and the motion blur kernel, we derive a minimization energy function that alternates between blur kernel estimation and deblurring image restoration until convergence. Experimental results demonstrate that the proposed approach is efficient and effective in reducing motion blur in an arbitrary direction in a single image. (C) 2014 Elsevier Inc. All rights reserved. |
关键词 | Motion Deblurring Point Spread Function Adapting Image Prior Spatially Varying Motion |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | BOUNDARY-CONDITIONS ; RESTORATION ; VIDEO |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems |
WOS记录号 | WOS:000340315600052 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8031 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
作者单位 | 1.Beijing Union Univ, Coll Informat Technol, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | He, Ning,Lu, Ke,Bao, Bing-Kun,et al. Single-image motion deblurring using an adaptive image prior[J]. INFORMATION SCIENCES,2014,281:736-749. |
APA | He, Ning,Lu, Ke,Bao, Bing-Kun,Zhang, Lu-Lu,&Wang, Jin-Bao.(2014).Single-image motion deblurring using an adaptive image prior.INFORMATION SCIENCES,281,736-749. |
MLA | He, Ning,et al."Single-image motion deblurring using an adaptive image prior".INFORMATION SCIENCES 281(2014):736-749. |
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