An Airborne Image Stabilization Method Based on Projection and the Gaussian Mixture Model

In this paper, an image stabilization method based on the adaptive Gaussian mixture model (GMM) is presented in order to smooth down the airborne image vibration. Firstly, the image edge is enhanced and then projection is adopted to estimate motion; secondly, GMM parameter is obtained after analyzing characteristics of the first n images; finally, a stable image sequence is achieved after GMM motion filter operates on the motion parameter. The experimental results show that the method has the advantage of fast speed and effectively smooth unwanted vibration of image sequences.