Non-blind image blur removal method based on a Bayesian hierarchical model with hyperparameter priors | |
Yang, Haoyuan1,2; Su, Xiuqin1; Wu, Jing3; Chen, Songmao1,2 | |
作者部门 | 光电跟踪与测量技术研究室 |
2020-02 | |
发表期刊 | OPTIK |
ISSN | 0030-4026;1618-1336 |
卷号 | 204 |
产权排序 | 1 |
摘要 | In many image blur removal schemes, a proper point spread function is usually estimated in advance from the blurry image, then the latent image comes out by using existing non-blind techniques. However, some of the techniques suffer from strong artifacts. Therefore, an efficient non-blind method plays an important role in image restoration issues. In most models, image priors act as the regularization terms that hold image details and suppress noises. This paper introduces a new image prior based on a parameterized scaled Gaussian model and a gamma distribution, with hyperparameters based on the statistical properties of tens of thousands of images. Our regularized cost function is then formed via a Bayesian hierarchical approach. It consists of a data fidelity term and a series of constraints on image gradients in multiple orientations. The former is used to assure the best approximation of the original image, and the latter is for preserving sharp edges. The optimization problem is solved by an effective tail-recursive algorithm based on the conjugate descent technique. Experimental results show that our model can both deal with simulated data and real scenes. The comparisons show our method outperforms others and achieves promising results. |
关键词 | Image prior Blur removal Bayesian hierarchical model Regularization |
DOI | 10.1016/j.ijleo.2020.164178 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000520025500065 |
出版者 | ELSEVIER GMBH |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93350 |
专题 | 光电跟踪与测量技术研究室 |
通讯作者 | Yang, Haoyuan |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Air Force Engn Univ, Xian 710051, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Haoyuan,Su, Xiuqin,Wu, Jing,et al. Non-blind image blur removal method based on a Bayesian hierarchical model with hyperparameter priors[J]. OPTIK,2020,204. |
APA | Yang, Haoyuan,Su, Xiuqin,Wu, Jing,&Chen, Songmao.(2020).Non-blind image blur removal method based on a Bayesian hierarchical model with hyperparameter priors.OPTIK,204. |
MLA | Yang, Haoyuan,et al."Non-blind image blur removal method based on a Bayesian hierarchical model with hyperparameter priors".OPTIK 204(2020). |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Non-blind image blur(3208KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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