Research on electronic image stabilization algorithm based on subsample gray-scale projectio

In order to stabilize dithering images obtained by mine vehicle-mounted recording system fast and accurately, an electronic image stabilization algorithm based on subsample gray-scale projection was proposed. Firstly, the image is processed by histogram equalization to improve image contrast. In order to reduce computation amount of the algorithm and weaken impact of local moving objects, the image is multi-resolution layered by the method of subsample, and the adjacent two frames of the low resolution image and its predetermined sub-regions are selected for gray-scale projection operation. The global motion vector is obtained by weighted summing process of the operation results. Finally, the image is compensated by adaptive adjacent frame compensation method according to compensation amount obtained by Kalman filtering. The experimental results show that the proposed algorithm is superior to traditional gray-scale projection algorithm in terms of accuracy and computation time, and can achieve long time continuous image stabilization.