A multihypothesis motion-compensated temporal filter for video denoising

被引：5
|
作者：
Guo, Liwei [1 ]
Au, Oscar C. [1 ]
Ma, Mengyao [2 ]
Liang, Zhiqin [1 ]
Yuk, Carman K. M. [1 ]
机构：
[1] Hong Kong Univ Sci & Technol, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词：
video signal processing; motion compensation; white noise;
D O I：
10.1109/ICIP.2006.312692
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Most existing filters for video denoising are spatio-temporal filters which operate on data over 3 dimensions. This paper presents a purely linear temporal filter with multihypothesis motion compensation (MC). Compared to the spatio-temporal filters, the proposed one needs much fewer inputs and much simpler operation. Experimental results show that just by involving 3 pixels, the proposed filter can achieve very good noise suppression performance. Moreover, as a purely temporal filter, it can well preserve spatial details and achieve satisfactory visual quality.
引用
收藏
页码：1417 / +
页数：2
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