中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Wang, Liang4; Wang, Lijun1
刊名SIGNAL IMAGE AND VIDEO PROCESSING
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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