中文摘要：

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白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31．08dB。

英文摘要：

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 rolation jitter with large angles, several modifications for existing circula relation matching. Adaptive posed to matching Block-sel r-proj As th ected determine the results and to ection algorithm was performed to improve the accuracy in the projection cor- e jitter videos contain larger or much more moving foreground objects, a novel Matching Algorithm （ABSMA） based on image bit-plane pyramid was pro- optimal block selection mode according to statistical characteristics of block 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 fil- ter, 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 pro- posed algorithm is also suitable for the jitter videos without rich gray features and its mean Peak Sig- nal-to-noise Ratio（PSNR） can reach 31.08 dB.