A digital image stabilization algorithm based on a particle filter is present to remove the interframe vibration of video images. Firstly,the corners of video images are extracted using Harris operators,then the mapping relationship between the current frame and the reference frame is established and global motion vectors are obtained by computing least-square solution based on an affine transformation model. Finally,the particle filtering is used to smooth motion vectors to realize the motion compensation of video frames. Experiments are undertaken for a video sequence with 80 frames,it could be found that the average Peak Signal-to-Noise Ratio (PSNR) of the image sequence after image stabilization is 24.88 higher than that of the original video sequence while providing the image stabilization accuracy and the processing time low than 1 pixel and 30 ms respectively.These results show the proposed stabilization algorithm improves image quality effectively,and it can not only alleviate the vibration but also can preserve the initiative motion of the camera.