Full view stabilizing method based on global characteristic point iteration

Abstract

The invention discloses a panorama image stabilization method based on the iteration of global characteristic points. The method of the invention includes two parts of the estimation of image motion parameters based on the iteration of characteristic points and the compensation of image motion based on the wave filtering. The estimation of global motion parameters includes that a Harries characteristic point which is the most stable in the image is combined with a characteristic window; local characteristic points are gradually deleted through the identification of the distance consistency and the updating of the iteration of characteristic points so that the global characteristic point set converges rapidly and the global motion parameters can be accurately obtained. The compensation of the motion image includes that the global motion parameters are filtered to acquire dither parameters, and actual dither parameters are compensated and the normal scanning motion of an image pickup system is retained; simultaneously, the image fusion is combined with the compensation to realize the output of a panorama image. The method of the invention can effectively process the dithers such as translation, rotation and zooming, etc., of the image pick-up system and more complex local motion of the scene, and can be used for removing the influence on the video sequence by a motion carrier so as to output a stable video and improve the observation effect of the video monitoring or tracking.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to image stabilization processing, specifically an electronic image stabilization method for video sequences, which can be used to eliminate the influence of moving carriers on video sequences, effectively and stably output videos, and improve the performance of video monitoring or tracking systems. Observe the effect. Background technique [0002] With the wide application of TV camera systems in various fields, the deterministic requirements for image information are also increasing. The most basic and most important point is to require high-quality video images with certain clarity and stability. . The working effect of the TV camera system is often affected by the attitude change or vibration of the carrier at different times, which is reflected on the monitor, making the obtained image information unstable or even blurred. Because this unstable image will cause fatigue...

AI Technical Summary

Problems solved by technology

[0009] The deficiencies of the above-mentioned existing motion estimation methods and image compensation methods lead to low estimation accuracy of image motion parameters, cannot process complex random jitter and complex motion scenes of the camera in real time, cannot follow the scanning motion, and the loss of boundary information will be reduced. The quality of the output video

Images