CAJ | 학술논문

当场景中存在较大范围运动前景时,通常的电子稳像算法较难鲁棒地提取背景的全局运动.针对这种情况,提出了利用前景运动掩膜和对极几何关系抑制错误的全局运动估计,进而达到稳像的目的.首先,估计相邻帧间可视化密集光流图;将该光流图用颜色直方图统计各颜色比重,进而分割出运动前景并制作掩膜;利用掩膜删除掉分布在前景上的光流保留背景光流;之后进一步去除外点,利用剩余的光流进行全局运动估计;最后,采用卡尔曼滤波完成运动补偿.三组不同环境的实验结果均表明,该算法能够有效抑制运动前景对稳像结果的干扰,稳像前后图像的PSNR值提高了近36%,稳像效果明显.
당장경중존재교대범위운동전경시,통상적전자은상산법교난로봉지제취배경적전국운동.침대저충정황,제출료이용전경운동엄막화대겁궤하관계억제착오적전국운동고계,진이체도은상적목적.수선,고계상린정간가시화밀집광류도;장해광류도용안색직방도통계각안색비중,진이분할출운동전경병제작엄막;이용엄막산제도분포재전경상적광류보류배경광류;지후진일보거제외점,이용잉여적광류진행전국운동고계;최후,채용잡이만려파완성운동보상.삼조불동배경적실험결과균표명,해산법능구유효억제운동전경대은상결과적간우,은상전후도상적PSNR치제고료근36%,은상효과명현.
When there is a scope of moving foreground, the common electronic image stabilization algorithm is difficult to be robust extraction of the global motion from background. It restrains the wrong global motion estimation with the use of the moving foreground mask and the epipolar geometry,to reach the goal of image stabilization. Firstly,the vi-sualized dense optical flow between adjacent frames is estimated;then the proporation of this optical flow diagram with the color histogram is got. The moving foreground is detected and the mask is made;with the use of the mask the optical flow distributed in the foreground is removed and the background optical flow is retained. Then,further the ex-terior points are removed and the global motion estimation with the remaining optical flow is carried out. Finally,Kal-man filtering is used to complete the motion compensation. The experiment results in three different environments all show that the interference of the moving foreground can be effectively restrained by this algorithm. The PSNR value has been increased nearly 36% after image stabilization and the effect of image stabilization is obvious.