An Iterative Least-Square Training Method for Classification-Based Motion Adaptive Temporal Filtering

被引:0
|
作者
Kim, Sung Deuk [1 ]
Lim, Kyoung Won [2 ]
机构
[1] Andong Natl Univ, Andong, South Korea
[2] LG Elect, Seoul, South Korea
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a motion-adaptive temporal filtering scheme based on trained least-square filtering. A novel iterative method is utilized in the training stage to find the optimal motion-adaptive temporal filter coefficient. The proposed approach shows optimal noise reduction performance in the LMS sense without introducing any blur.
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页数:2
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