电子稳像技术研究与实现

On Electronic Image Stabilization Technology and Implementation

针对电子稳像技术在现实中的应用,提出了一种基于角点检测与块匹配的电子稳像改进算法.接着根据块匹配方法找到相应的特征块,并从中找到对应的角点对,运用6参数摄像机运动模型求解运动参数,完成运动估计.采用基于FPGA+DSP通用架构的图像处理硬件平台,用CCS编写程序,将改进的稳像算法移植到TMS320C6416DSP中,达到实时实现视频稳像的目的.算法仿真结果与试验表明,改进的算法具有稳像精度高、速度快等特点,同时经过电子稳像系统处理后的视频图像更加清晰稳定且实时性好.

Aiming at the application of technology in the reality of the electronic image stabilization,this paper presents a method based on corner detection and block matching algorithm of electronic image stabilization.Based on the block matching method to find the corresponding feature block and the corner of correspondence,6parameters of the camera motion model have been used to solve the motion parameters and finish the motion estimation.Using the hardware platform of universal image processing framework based on FPGA＋DSP and programming with CCS,the improved image stabilization algorithm is transplanted to TMS320C6416 DSP and the purpose of real-time video stabilization has been achieved.Simulation results and the algorithm experiment indicate that in this paper,the improved algorithm has high image stabilizing precision,fast speed,at the same time,the electronic image stabilization of video image processing system more stable after clear and good real-time characteristic.