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A no-reference quality metric for evaluating deinterlaced video frames

机译:用于评估逐行扫描视频帧的无参考质量度量

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Video fields are commonly labeled "odd" and "even", depending on the order of field. Odd fields contain scan lines that correspond to the odd lines of the video frame. Even fields contain scan lines that correspond to the even lines of the video frames. One odd field and one even field are used to create a video frame. Deinterlacing algorithms convert video from the interlaced scan format to the progressive scan format. This paper presents a deinterlace metric which evaluates the performance of a deinterlacmg algorithm. The metric is based on a frame processed with a deinterlacing algorithm. The described approach is a no-reference metric, meaning that the quality measure is not dependent on previously deinterlaced frames. In previous literature, the mean squared error (MSE) is frequently used as a performance metric for deinterlacing. MSE does not necessarily correlate with the effectiveness of the deinterlacing. Rather than using MSE, our metric is based on high frequency components of deinterlaced frame. We found that the metric corresponds well with subjective testing and is therefore suitable for quick qualitative characterization of deinterlaced frames.
机译:视频字段通常根据字段的顺序标记为“奇数”和“偶数”。奇数场包含与视频帧的奇数行相对应的扫描线。偶数字段包含与视频帧的偶数行相对应的扫描线。一个奇数场和一个偶数场用于创建视频帧。去隔行算法将视频从隔行扫描格式转换为逐行扫描格式。本文提出了一种去隔行指标,用于评估去隔行算法的性能。度量基于使用去隔行算法处理的帧。所描述的方法是无参考度量,这意味着质量度量不依赖于先前去隔行的帧。在以前的文献中,均方误差(MSE)经常用作去隔行的性能指标。 MSE不一定与去隔行扫描的有效性相关。我们的指标不是使用MSE,而是基于去隔行帧的高频分量。我们发现该度量标准与主观测试非常吻合,因此适合于对隔行扫描帧进行快速定性表征。

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