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首页> 外文期刊>Journal of visual communication & image representation >One-iteration dejittering of digital video images
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One-iteration dejittering of digital video images

机译：数字视频图像的一次迭代去抖动

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We propose several very fast algorithms to dejitter digital video images in one iteration. They are based on an essential disproportion of the magnitude of the second-order differences along the columns of a real-world image and all its jittered versions. The optimal row positions are found using non-smooth and possibly non-convex local criteria, applied on the second-order differences between consecutive rows. The dejittering iteration involves a number of steps equal to the number of the rows of the image. These algorithms are designed for gray-value and color natural images, as well as to noisy images. A reasonable version of these algorithms can be considered as parameter-free. We propose specific error measures to assess the success of dejittering. We provide experiments with random and structured jitter. The obtained results outperform by far the existing methods both in quality and in speed (the ours need around 1 second for a 512 × 512 image on Matlab). Our algorithms are a crucial step towards real-time dejittering of digital video sequences.
机译：我们提出了几种非常快速的算法来一次迭代去除数字视频图像的抖动。它们是基于真实世界图像及其所有抖动版本沿列的二阶差分量的本质不均衡所致。最佳行位置是使用不平滑且可能不凸的局部条件找到的，该条件适用于连续行之间的二阶差异。去抖动迭代涉及与图像的行数相等的多个步骤。这些算法设计用于灰度和彩色自然图像以及嘈杂的图像。这些算法的合理版本可以认为是无参数的。我们提出了具体的错误措施来评估去抖动的成功。我们提供具有随机和结构化抖动的实验。所获得的结果在质量和速度上都远远优于现有方法（对于Matlab上的512×512图像，我们需要大约1秒的时间）。我们的算法是实现数字视频序列实时抖动的关键一步。

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