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

来源：

2010 DIGEST OF TECHNICAL PAPERS INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS ICCE | 2010年

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.

引用

页数：2

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