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New frame rate up-conversion based on foreground/background segmentation

机译:基于前台/背景分割的新帧速率上转换

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Frame rate up-conversion (FRUC) increases the quality of a video by increasing its temporal frequency. Motion compensated and non-motion compensated frame rate up conversion techniques make up the two main classes of techniques used in this area. Halo artifacts and jaggy edges cause the quality of video to be reduced both subjectively and objectively in these techniques. In this paper, we introduce a new method of motion compensated FRUC that uses foreground background segmentation to address these problems. It checks up the neighbors of gap pixels and deciding which neighbors should be used to interpolate or extrapolate according to their foreground or background identity. The current work reduces block artifacts by scaling motion vectors of existent frames to motion vectors of interpolated frames by using the foreground/background segmentation information. The proposed method improves the quality of video and obtains better PSNR results than the proposed methods of [9], [13] and [14].
机译:帧速率上转换(FRUC)通过增加其时间频率来增加视频的质量。运动补偿和非运动补偿帧速率上升转换技术构成了该区域中使用的两种主要的技术。光环伪影和锯齿膜边缘导致在这些技术中主观和客观地减少视频的质量。在本文中,我们介绍了一种新的运动补偿法案,它使用前景背景分割来解决这些问题。它检查间隙像素的邻居,并根据其前景或背景标识确定应使用哪些邻居用于插入或推断。当前工作通过使用前景/背景分割信息来缩放存在帧的运动矢量来减少块伪影通过使用前景/背景分割信息来缩放存在帧的运动向量。所提出的方法改善了视频的质量,并获得比[9],[13]和[14]的所提出的方法的PSNR结果。

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