Super-resolution Enhancement of Video
Super-resolution Enhancement of Video
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发表时间：
2003
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通讯作者：
Charles M. Bishop;A. Blake;B. Marthi
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作者：
Charles M. Bishop;A. Blake;B. Marthi
我们考虑的问题，通过增加感知上合理的高频信息，提高视频的分辨率。我们的方法是基于一个学习数据集的图像补丁捕捉自然图像的中，高空间频带之间的关系。通过在这些补丁上引入适当的先验分布，我们可以确保视频的连续帧中静态图像区域的一致性，并且还考虑到对象运动。一个关键概念是使用先前增强的帧来提供用于当前帧的超分辨率增强的训练集的一部分。我们的研究结果表明，在合理的计算成本，可以实现视频质量的显着改善。
We consider the problem of enhancing the resolution of video through the addition of perceptually plausible high frequency information. Our approach is based on a learned data set of image patches capturing the relationship between the middle and high spatial frequency bands of natural images. By introducing an appropriate prior distribution over such patches we can ensure consistency of static image regions across successive frames of the video, and also take account of object motion. A key concept is the use of the previously enhanced frame to provide part of the training set for super-resolution enhancement of the current frame. Our results show that a marked improvement in video quality can be achieved at reasonable computational cost.