Abstract

The study of image stabilization algorithms plays an important role in achieving electronic image stabilization. This paper firstly introduces the basic concepts, principles and common typical algorithms of vehicle-borne electronic image stabilization technology. Then, based on the characteristics of vehicle-mounted image processing, this paper analyzes the influence of the instability of vehicle-mounted image sequences on the observation results of vehicle-borne systematic images, and introduces the vehicle-mounted electronic image stabilization technology. Besides, a method to achieve the stabilization of the inter-frame translation motion of vehicle-mounted dynamic image sequences using the gray projection matching algorithm is proposed. In the vehicle-mounted imaging system, the maximum gray value in the feature image is used to estimate the inter-frame motion of the image sequence, and a partition method is used to estimate the motion vector by selecting the gray-scale maximum point as the feature point in a certain scanning order, to ensure the validity of the algorithm. At the same time, based on characteristics of vehicle imaging, the necessity and possibility of detecting long-focus picture pick-up system and compensating the rotation movement are proposed, and the method of using the maximum gray value points as the image feature to estimate the inter-frame motion of the image sequence are presented.

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