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Distortion identification technique based on Hilbert-Huang transform in video stabilization |
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| Authors: | Yan Liu Mouyan Zou Qiang Wang |
| Institution: | 1. Graduate University, Chinese Academy of Sciences, Beijing 100190, China 2. Graduate University, Chinese Academy of Sciences, Beijing 100190, China;Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China 3. School of Sciences, Tianjin University, Tianjin 300072, China |
| Abstract: | A distortion identification technique is presented based on Hilbert-Huang transform to identify distortion model and distortion frequency of distorted real-world image sequences. The distortion model is identified simply based on Hilbert marginal spectral analysis after empirical mode decomposing. And distortion frequency is identified by analyzing the occurrence frequency of instantaneous frequency components of every intrinsic mode functions. Rational digital frequency filter with suitable cutoff frequency is designed to remove undesired fluctuations based on identification results. Experimental results show that this technique can identify distortion model and distortion frequency of displacement sequence accurately and efficiently. Based on identification results, distorted image sequence can be stabilized effectively. |
| Keywords: | image sequence distortion video stabilization distortion model identification distortion frequency identification Hilbert-Huang transform |
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