Xue Bindang, Liu Yi, Cui Linyan, Bai Xiangzhi, Cao Xiaoguang, Zhou Fugen
Opt Express. 2016 Nov 28;24(24):28092-28103. doi: 10.1364/OE.24.028092.
Video stabilization in atmosphere turbulent conditions is aimed at removing spatiotemporally varying distortions from video recordings. Conventional shaky video stabilization approaches do not perform effectively under turbulent circumstances due to the erratic motion common to those conditions. Using complex-valued image pyramids, we propose a method to mitigate this erratic motion in videos. First, each frame of a video is decomposed into different spatial frequencies using the Laplacian pyramid. Second, a Riesz transform is adopted to extract the local amplitude and the local phase of each sub-band. Next, low-pass filters are designed to attenuate the local amplitude and phase variations to remove turbulence-induced distortions. Experimental results show that the proposed approach is efficient and provides stabilizing video in atmosphere turbulent conditions.
大气湍流条件下的视频稳定旨在消除视频记录中随时间和空间变化的失真。传统的抖动视频稳定方法在湍流环境下效果不佳，因为这些条件下存在不稳定的运动。我们提出了一种使用复值图像金字塔来减轻视频中这种不稳定运动的方法。首先，利用拉普拉斯金字塔将视频的每一帧分解为不同的空间频率。其次，采用里斯变换提取每个子带的局部幅度和局部相位。接下来，设计低通滤波器来衰减局部幅度和相位变化，以消除湍流引起的失真。实验结果表明，所提出的方法是有效的，能够在大气湍流条件下提供稳定的视频。
