Compressed image deblurring | |
Xu, Yuquan; Hu, Xiyuan; Peng, Silong | |
发表期刊 | JOURNAL OF ELECTRONIC IMAGING |
2014-03-01 | |
卷号 | 23期号:2页码:023020 |
文章类型 | Article |
摘要 | We propose an algorithm to recover the latent image from the blurred and compressed input. In recent years, although many image deblurring algorithms have been proposed, most of the previous methods do not consider the compression effect in blurry images. Actually, it is unavoidable in practice that most of the real-world images are compressed. This compression will introduce a typical kind of noise, blocking artifacts, which do not meet the Gaussian distribution assumed in most existing algorithms. Without properly handling this non-Gaussian noise, the recovered image will suffer severe artifacts. Inspired by the statistic property of compression error, we model the non-Gaussian noise as hyper-Laplacian distribution. Based on this model, an efficient nonblind image deblurring algorithm based on variable splitting technique is proposed to solve the resulting nonconvex minimization problem. Finally, we also address an effective blind image deblurring algorithm which can deal with the compressed and blurred images efficiently. Extensive experiments compared with state-of-the-art nonblind and blind deblurring methods demonstrate the effectiveness of the proposed method. (C) 2014 SPIE and IS |
关键词 | Image Deblurring Image Deconvolution Compression Error Blocking Artifacts Alternating Direction Method |
WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
关键词[WOS] | CODED IMAGES ; BLOCKING ARTIFACTS ; SINGLE IMAGE ; RESTORATION ; NOISE ; DEBLOCKING ; REMOVAL ; FILTERS ; CAMERA ; DCT |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Engineering ; Optics ; Imaging Science & Photographic Technology |
WOS类目 | Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000338984000020 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/2916 |
专题 | 智能制造技术与系统研究中心_多维数据分析(彭思龙)-技术团队 |
通讯作者 | Hu, Xiyuan |
作者单位 | Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Xu, Yuquan,Hu, Xiyuan,Peng, Silong. Compressed image deblurring[J]. JOURNAL OF ELECTRONIC IMAGING,2014,23(2):023020. |
APA | Xu, Yuquan,Hu, Xiyuan,&Peng, Silong.(2014).Compressed image deblurring.JOURNAL OF ELECTRONIC IMAGING,23(2),023020. |
MLA | Xu, Yuquan,et al."Compressed image deblurring".JOURNAL OF ELECTRONIC IMAGING 23.2(2014):023020. |
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 | ||
Compressed image deb(3313KB) | 期刊论文 | 作者接受稿 | 暂不开放 | CC BY-NC-SA |
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