摘要
在角点检测的基础上,提出了一点对多点的配对策略,并针对该策略推导了能够解决图像序列同时存在平移和大角度旋转的稳像新算法.该算法克服了其他稳像算法必须准确求解图像旋转中心的缺点,突破了以往大多数算法仅解决平移和小角度旋转(一般是3°到5°)的限制.实验结果表明,当抖动图像的旋转角度转到18°时,仍然能达到很好的稳像效果,且稳像后图像的平均峰值信噪比比稳像前提高了约26 dB.
Based on corner detection,a matching strategy featured point-to-multipoint is presented,from which it is proposed a new image stabilization algorithm for image sequences with both translation and large rotation.The algorithm has made a breakthrough to the limitations of both the traditional algorithms＇ capability of only resolving translation or small rotation（3° to 5° on average） and the necessity of the center of rotation being precisely determined.Experimental results show that the algorithm still effectively functions even when the rotation angle reaches18°.Also,the average PSNR is raised approximately 26dB after stabilization.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2011年第4期26-31,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(60876023)
超高速电路设计与电磁兼容教育部重点实验室基金资助项目
关键词
电子稳像
大角度抖动
角点匹配
全局运动估计
electronic image stabilization
large rotation
corner matching
global motion estimation
