Blind deblurring from single motion image based on adaptive weighted total variation algorithm
文献类型：期刊论文
| 作者 | Wen, J ; Zhao, JS ; Cailing, W ; Yan, SX ; Wang, W |
| 刊名 | IET SIGNAL PROCESSING
 |
| 出版日期 | 2016 |
| 卷号 | 10期号:6页码:611-618 |
| 关键词 | image restoration image motion analysis inverse problems blind image deblurring method adaptive weighted total variation algorithm single motion image structure blur kernel estimation point spread function ringing artefact removal higher-order partial derivative ill-posed inverse problem latent image restoration |
| ISSN号 | 1751-9675 |
| 中文摘要 | Blind image deblurring is an important topic which is widely used in many research fields such as photography, optics, astronomy, medical images, monitoring, military and so on. Although many algorithms have been proposed to improve the deblurring result in the past years, most of them cannot perform perfectly in some challenging cases. This study presents a novel blind deblurring method based on an adaptive weighted total variation (TV) algorithm. The blur kernel estimation is based on the image structure, the sparsity and continuity prior of point spread function is also taken into account. To get better effect of removing the ringing artefacts, adaptive weight calculated according to the property of the higher-order partial derivatives in the local image is proposed in TV algorithm to alleviate the ill-posed inverse problem and stabilise the solution for latent image restoration. The experimental results prove that the proposed algorithm can suppress the ringing artefacts to a great extent in the latent image, and can get much better effect in both vision and theoretical results than traditional algorithms. |
| 英文摘要 | Blind image deblurring is an important topic which is widely used in many research fields such as photography, optics, astronomy, medical images, monitoring, military and so on. Although many algorithms have been proposed to improve the deblurring result in the past years, most of them cannot perform perfectly in some challenging cases. This study presents a novel blind deblurring method based on an adaptive weighted total variation (TV) algorithm. The blur kernel estimation is based on the image structure, the sparsity and continuity prior of point spread function is also taken into account. To get better effect of removing the ringing artefacts, adaptive weight calculated according to the property of the higher-order partial derivatives in the local image is proposed in TV algorithm to alleviate the ill-posed inverse problem and stabilise the solution for latent image restoration. The experimental results prove that the proposed algorithm can suppress the ringing artefacts to a great extent in the latent image, and can get much better effect in both vision and theoretical results than traditional algorithms. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000381223200005 |
| 公开日期 | 2016-12-09 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17314]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Wen, J,Zhao, JS,Cailing, W,et al. Blind deblurring from single motion image based on adaptive weighted total variation algorithm[J]. IET SIGNAL PROCESSING,2016,10(6):611-618. |
| APA | Wen, J,Zhao, JS,Cailing, W,Yan, SX,&Wang, W.(2016).Blind deblurring from single motion image based on adaptive weighted total variation algorithm.IET SIGNAL PROCESSING,10(6),611-618. |
| MLA | Wen, J,et al."Blind deblurring from single motion image based on adaptive weighted total variation algorithm".IET SIGNAL PROCESSING 10.6(2016):611-618. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。