Electronic Image Stabilization Algorithm And Implementation

Nowadays with the rapid development of VLSI, Electronic Image Stabilization (EIS) has got more widely applied and made up for Optical Image Stabilization and Mechanical Image Stabilization's shortages effectively. So the algorithm research considered as the foundation of EIS is extraordinary important for the object detection and target tracking in many occasions.In this paper, on the basis of analyzing Image Stabilization Techniques and a few familiar Image Stabilization Modes, the theory and the mathematical model of Electronic Image Stabilization (EIS) are studied, as well as main characteristics and steps of EIS. Several normal algorithms are introduced and EIS System is emulated in MATLAB software environment based on the basic principle of Gray Projection Algorithm and intensive study of several kinds of algorithm, including Image Pre-processing, motion vector estimation, motion vector smoothing and motion vector compensation. During algorithm emulating, two basic motion vector compensation methods are combined creatively avoiding fake fixed scene in the result of stabilization. Minimal visual field is creatively used in experiment to reduce instability caused by black compensation region. The Gray Projection Algorithm adopted in this experiment has been proved to meet the demand of accuracy and real time character. In the end of the paper, the problems appear in experiment are analyzed deeply and further research direction is suggested.