基于人眼特性的视频稳定方法

在分析人眼视觉稳像原理和特性的基础上,提出了一种基于特征块匹配的视频稳定算法。该算法采用均匀分布的方式确定特征块。根据视频图像抖动特性对运动矢量进行预测,确定运动搜索的起始点。采用大钻石与小钻石搜索模板结合的方式,在阈值和搜索空间的约束下完成特征块匹配。然后通过运动平滑选择有效的运动矢量。利用仿射变换矩阵对原始图像进行配准,得出稳定视频序列。实验表明,该算法有效地稳定了图像序列,并且满足快速性和实时性的要求。

Video stabilization algorithm based on human visual characteristics

A video stabilization algorithm was proposed based on the feature block matching after analyzing the image stabilization mechanism and characteristic of human eyes.Uniform distribution mode was used to define the feature block.The motion vector was predicted according to the video jitter characteristic to decide the start point of searching.With the searching templates of both Large Diamond and Small Diamond,the feature blocks were matched under the restraints of threshold value and searching space.The effe...