Motion blur compensation in scalable HEVC hybrid video coding
Motion blur compensation in scalable HEVC hybrid video coding
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DOI：
10.1109/pcs.2013.6737746
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发表时间：
2013-12
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影响因子：
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通讯作者：
Thorsten Laude;H. Meuel;Yiqun Liu;J. Ostermann
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文献类型：
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作者：
Thorsten Laude;H. Meuel;Yiqun Liu;J. Ostermann
现代混合视频编码器的一个主要元素包括运动补偿预测。它分别采用空间或时间邻域来预测当前样本或样本块。运动补偿预测的质量很大程度上取决于用于预测的参考图像块与当前图像块的相似性。在场景中变化的模糊的情况下，例如由相机和焦平面中的对象之间的加速运动引起的，图片预测降级。由于运动模糊是一个共同的特点，在几个应用场景，如动作和体育电影，我们建议在混合视频编码的运动模糊的环路补偿。以前的方法在单层编码中应用运动模糊补偿，但缺点是需要额外的信令。与此相反，我们采用了一个可伸缩的视频编码框架。因此，我们可以通过基本层信息导出高质量增强层的任何块的强度以及运动方向。因此，对于预定义滤波器和当前滤波器系数都不需要额外的信令。我们在高效率视频编码（HEVC）参考软件HM 8.1的可伸缩扩展中实现了我们的方法，并且与JCT-VC测试序列的相同PSNR质量下的参考相比，能够在增强层中提供高达1%的BD速率增益，并且对于包含大量变化的运动模糊的自记录序列，能够提供高达2.5%的BD速率增益。
One main element of modern hybrid video coders consists of motion compensated prediction. It employs spatial or temporal neighborhood to predict the current sample or block of samples, respectively. The quality of motion compensated prediction largely depends on the similarity of the reference picture block used for prediction and the current picture block. In case of varying blur in the scene, e.g. caused by accelerated motion between the camera and objects in the focal plane, the picture prediction is degraded. Since motion blur is a common characteristic in several application scenarios like action and sport movies we suggest the in-loop compensation of motion blur in hybrid video coding. Former approaches applied motion blur compensation in single layer coding with the drawback of needing additional signaling. In contrast to that we employ a scalable video coding framework. Thus, we can derive strength as well as the direction of motion of any block for the high quality enhancement layer by base-layer information. Hence, there is no additional signaling necessary neither for predefined filters nor for current filter coefficients. We implemented our approach in a scalable extension of the High Efficiency Video Coding (HEVC) reference software HM 8.1 and are able to provide up to 1% BD-Rate gain in the enhancement layer compared to the reference at the same PSNR-quality for JCT-VC test sequences and up to 2.5% for self-recorded sequences containing lots of varying motion blur.