Distortion identification technique in video stabilization

Yan Liu, MouYan Zou
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引用次数: 4

Abstract

For non-stationary displacement sequence of the real-world image sequence, this paper presents a distortion identification technique based on Hilbert Huang Transform (HHT) to identify the distortion model and distortion frequency of the displacement sequence. Experiment results show that this technique can identify the distortion model and distortion frequency of the displacement sequence accurately and quickly. Based on these identification results, we can realize the video stabilization effectively.
视频防抖中的失真识别技术
针对实际图像序列的非平稳位移序列,提出了一种基于希尔伯特黄变换(Hilbert Huang Transform, HHT)的畸变识别技术,用于识别位移序列的畸变模型和畸变频率。实验结果表明,该方法能够准确、快速地识别位移序列的畸变模式和畸变频率。基于这些识别结果,我们可以有效地实现视频防抖。
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