Repairing imperfect video enhancement algorithms using classification-based trained filters
文献类型:期刊论文
作者 | Shao, Ling1; Zhang, Hui2,3![]() ![]() |
刊名 | SIGNAL IMAGE AND VIDEO PROCESSING
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出版日期 | 2011-09-01 |
卷号 | 5期号:3页码:307-313 |
关键词 | Trained filters Video enhancement Compression artefacts removal De-blurring Resolution up-conversion Classification Least squares optimisation |
英文摘要 | There are numerous video processing algorithms and modules available. When the algorithms are not optimally tuned, undesired results may happen in the processed video signals, e.g. blurring, overshoots/downshoots, loss of details and aliasing. When the video processing modules are fixed, e.g. when the modules are implemented in hardware/chips, it is highly desirable to repair those unpleasant effects caused by certain imperfect algorithms. In this paper, we propose a solution based on classification and least squares trained filters to repair/patch low-quality video processing modules at the back end of a video chain. Extensive experiments show that the repairing method can significantly improve the video quality without modifying the original processing modules. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
研究领域[WOS] | Engineering ; Imaging Science & Photographic Technology |
关键词[WOS] | CODING ARTIFACT REDUCTION ; VISIBILITY |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000294056500005 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9736] ![]() |
专题 | 自动化研究所_智能感知与计算研究中心 |
作者单位 | 1.Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England 2.United Int Coll, Dept Comp Sci & Technol, Zhuhai, Peoples R China 3.PKU HKUST Shenzhen Hong Kong Inst, Shenzhen Key Lab Intelligent Media & Speech, Shenzhen, Peoples R China 4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Shao, Ling,Zhang, Hui,Wang, Liang,et al. Repairing imperfect video enhancement algorithms using classification-based trained filters[J]. SIGNAL IMAGE AND VIDEO PROCESSING,2011,5(3):307-313. |
APA | Shao, Ling,Zhang, Hui,Wang, Liang,&Wang, Lijun.(2011).Repairing imperfect video enhancement algorithms using classification-based trained filters.SIGNAL IMAGE AND VIDEO PROCESSING,5(3),307-313. |
MLA | Shao, Ling,et al."Repairing imperfect video enhancement algorithms using classification-based trained filters".SIGNAL IMAGE AND VIDEO PROCESSING 5.3(2011):307-313. |
入库方式: OAI收割
来源:自动化研究所
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