在视频图像获取过程中,由于噪声对图像序列的降质,需要设计实时噪声滤波器.讨论了视佑频图像的卡尔曼滤波问题及自适应卡尔曼滤波算法,并讨论了自适应卡尔曼滤波算法的简化,以利于硬件实现自适应卡尔曼滤波器,并进行了简化算法仿真,完成基于FPGA实现的实时自适应卡尔曼滤波器的设计.

For the degradation of image sequence due to noise, the temporal noise filter is designed during video image acquisition process. The problem of the Kalman filering and the algorithm of the adaptive Kalman filtering are studied. And the predigestion of the adaptive Kalman filtering in the interest of hardware implementation is discussed,the predigestion arithmetic is imitated. The design of the adaptive temporal Kalman filter based on FPGA implementation has been achieved.