摘要
针对传统电子稳像平台的缺陷,设计一种基于改进Harris角点检测的进行运动估计的FPGA(Field Programmable Gate Array)稳像系统。算法针对FPGA结构特点以及Harris算法理论结构,对其进行必要的改进。针对运动补偿后原有部分图像信息缺失问题,提出一种基于图像融合的缺失图像补偿算法。系统还完成了运动估计和运动补偿部分的硬件设计,使得视频序列帧间存在平移和旋转时能够消除这种运动。研究结果证明,系统能消除随机抖动。
For the shortcomings of traditional electronic image stabilisation platform, in the paper we design the FPGA image stabilisation system which estimates the motion based on improved Harris corner detection. Targeted at the structure feature of FPGA and the theoretical structure of Harris algorithm, the new algorithm makes necessary improvements on the system. Taking into account the problem of the infor- mation missing in part of original image after the motion compensation, we propose an image fusion-based missing image compensation algo- rithm. Besides, the system also completes the modules design of the components of motion estimation and motion compensation so that the mo- tion can be eliminated when the translation and rotation are existed in inter-frame of video sequence. Research results prove that the system can eliminate random jitter.
出处
《计算机应用与软件》
CSCD
2015年第5期220-223,共4页
Computer Applications and Software
关键词
角点检测
现场可编程门阵列
全局运动估算
图像融合
Corner detection Field programmable gate array （FPGA） Global motion estimation Image fusion
