Abstract:

In view of video stabilization area, a real time system is proposed. Based on the scale invariant feature transform for robust feature extraction and the random sample consensus algorithm for robust fitting, image compensation is applied according to jittered parameters got by low pass filter with adaptive length according to the extent of video content variation, thus over stabilization and under stabilization are prevented effectively. Stable and complete video is gotten after that each frame is repaired with texture synthesis and abundant reference frames. The object experiment results confirmed the comprehensive advantage in peak signal to noise ratio and time cost of this system. The subjective experiment indicates the suitability of removing non comfort on human visual system after video stabilization with this system.