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首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >A Novel Frame Rate Up-Conversion Algorithm Based on Soft Threshold Bandelet Transform
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A Novel Frame Rate Up-Conversion Algorithm Based on Soft Threshold Bandelet Transform

机译：基于软门限Bandelet变换的帧速率上转换算法

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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.
机译：帧速率上转换（FRUC）的最重要部分是块匹配。传统的块匹配算法没有考虑图像的几何特性，因此运动估计的匹配结果无法达到最佳。提出了一种新的基于Bandelet的FRUC算法。该算法包括：首先，对匹配块进行软阈值Bandelet变换。通过检测方向相似度和Bandelet系数相似度确定最佳匹配块；其次，采用运动矢量实现矢量中值滤波（VMF）和重叠块运动补偿（OBMC），实现插值帧算法。实验结果表明，基于Bandelet的FRUC算法可以进一步提高FRUC的质量。

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