A Novel Frame Rate Up-Conversion Algorithm Based on Soft Threshold Bandelet Transform

被引：2
|
作者：
Deng, Mingjun [1 ]
Tian, Fengchun [1 ]
Ran, Jian [1 ]
Shi, Zhiyong [1 ]
Zhang, Li [1 ]
机构：
[1] Chongqing Univ, Coll Commun Engn, Chongqing 400044, Peoples R China
来源：
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2016年 / 30卷 / 07期
关键词：
Bandelet transform; block matching; frame rate up-conversion; motion compensation; motion estimation; MOTION ESTIMATION;
D O I：
10.1142/S0218001416500178
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The most important part of frame rate up-conversion (FRUC) is block matching. The geometric properties of the image were not taken into consideration in traditional block matching algorithm, so the matching result of motion estimation cannot reach the optimal. A novel FRUC algorithm based on Bandelet was proposed in this paper. The algorithm includes: Firstly, a soft threshold Bandelet transform of matching block was performed. The optimal matching block was determined through detection of direction similarity and Bandelet coefficient similarity; secondly, vector median filtering (VMF) and overlapped block motion compensation (OBMC) were carried out by adopting motion vector to realize interpolated frame algorithm. Experimental results show that the FRUC algorithm based on Bandelet can further promote the quality of FRUC.
引用
收藏
页数：10
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