大运动前景和旋转抖动视频的快速数字稳定

遆晓光; 靳万鑫; 余颖

doi:10.3788/OPE.20142201.0177

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大运动前景和旋转抖动视频的快速数字稳定

信息科学 | 更新时间：2020-08-13

- 大运动前景和旋转抖动视频的快速数字稳定
- Digital video stabilization for large-scale moving foreground object and rotation jitter
- 光学精密工程 2014年22卷第1期页码：177-185
- 作者机构：
  
  1. 哈尔滨工业大学控制与仿真中心,黑龙江哈尔滨,150080
  2. 空间重点物理实验室北京,10076
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No.61174202)();中央高校基本科研业务费专项资金资助项目 (No. HIT. NSRIF 201163)();航天科技创新基金资助
- DOI：10.3788/OPE.20142201.0177
  中图分类号： TP391.4
- 收稿日期：2013-05-10，
  
  纸质出版日期：2014-01-15
- 稿件说明：
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遆晓光, 靳万鑫, 余颖. 大运动前景和旋转抖动视频的快速数字稳定[J]. 光学精密工程, 2014,22(1): 177-185

DI Xiao-guang, JIN Wan-xin, YU Ying. Digital video stabilization for large-scale moving foreground object and rotation jitter[J]. Editorial Office of Optics and Precision Engineering, 2014,22(1): 177-185
遆晓光, 靳万鑫, 余颖. 大运动前景和旋转抖动视频的快速数字稳定[J]. 光学精密工程, 2014,22(1): 177-185 DOI： 10.3788/OPE.20142201.0177.

DI Xiao-guang, JIN Wan-xin, YU Ying. Digital video stabilization for large-scale moving foreground object and rotation jitter[J]. Editorial Office of Optics and Precision Engineering, 2014,22(1): 177-185 DOI： 10.3788/OPE.20142201.0177.

摘要

针对存在大的旋转抖动和大的运动前景的视频

提出了一种快速电子稳像方法。由于现有圆周投影法在估计图像大角度旋转运动时鲁棒性较差

故对算法进行了改进以提高投影相关匹配时的准确性。考虑常用的稳像算法难以处理含较大或较多运动前景的抖动视频

提出一种基于图像位平面金字塔的自适应取块平移运动估计方案; 该方案可根据块匹配结果的统计特性决策最优取块模式

最大程度地避免运动前景对运动参数估计的干扰。最后

引入一种自适应分组的限幅加均值复合滤波方式

一方面通过限幅滤波修正帧间错误运动估计

另一方面自适应分组确定滤波窗口以达到较佳运动平滑效果。实验结果表明:改进的圆周投影法旋转估计的准确性和稳健性均有提高;自适应取块的平移运动估计方案能够准确估计较大运动前景抖动视频的运动参数

同时也适用于灰度特征不丰富的抖动视频;稳像的信噪比峰值可达31.08 dB。

Abstract

For video images with large-scale moving foreground objects and rotation jitters

a new fast digital image stabilization algorithm was proposed. According to the poor robustness of the existing circular-projection algorithm to estimate video's rotation jitter with large angles

several modifications for existing circular-projection algorithm was performed to improve the accuracy in the projection correlation matching.As the jitter videos contain larger or much more moving foreground objects

a novel Adaptive Block-selected Matching Algorithm (ABSMA) based on image bit-plane pyramid was proposed to determine the optimal block selection mode according to statistical characteristics of block matching results and to effectively reduce moving foreground objects on global motion estimation. Finally

an adaptive compound filter using the frame grouping and mean filter with a limiting magnitude was introduced

which could not only correct the inter-frame motion estimation error by limiting filter

but also could determine a filtering window to achieve better smoothness of motion by an adaptive frame grouping. Experimental results show that modified circular-projection algorithm has significant effect on improving the accuracy and robustness of image stabilization and the ABSMA can accurately estimate motion parameters of jitter videos with larger or more moving foreground objects. The proposed algorithm is also suitable for the jitter videos without rich gray features and its mean Peak Signal-to-noise Ratio(PSNR) can reach 31.08 dB.

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Keywords

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