Adaptive spatio-temporal filtering for video de-noising

被引：0
|
作者：
Cheong, HY [1 ]
Tourapis, AM [1 ]
Llach, J [1 ]
Boyce, J [1 ]
机构：
[1] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
来源：
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5 | 2004年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Video de-noising is an important feature of many modern video encoding, architectures since it can considerably enhance coding efficiency while at the same time improving objective and subjective quality. In this paper, a new scheme for video de-noising, based on spatio-temporal filtering is presented, which can be used as a pre-processing stage within a video encoder. Spatial filtering is performing through the adaptive selection and combination of a wavelet based and a 2-D Wiener filter, while for temporal filtering we employ bi-directional block based motion compensation using the Enhanced Predictive Zonal Search (EPZS) algorithm. Experimental results are presented which show a significant improvement in video quality when the de-noised video sequence is encoded with tin H.264 encoder.
引用
收藏
页码：965 / 968
页数：4
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