Image de-spin and stabilization method based on subarea matching and affine model

Abstract

The invention discloses an image de-spin and stabilization method based on subarea matching and an affine model, which comprises the steps that 1, a reference frame and a current frame are subjected to image histogram equalization processing; 2, four areas distributed crosswise and an image center area are selected as matching areas of motion estimation; 3, an affine transformation model is established, and a current frame motion vector is solved; and 4, a kalman filter model is established, and motion compensation of a current frame displacement vector is achieved. In Step 2, the operand is less; a speed is high; the motion estimation capacity is favorable when translation and rotation motion coexist in an image; and an interframe estimated error is less than one pixel. According to the method, the random motion quantity of a video image can be removed with high precision; scanning motion inherent in a platform or a load is kept; and the smoothness of a dynamic image sequence is improved. The method can effectively improve the video image and inhibit random noise.

Description

technical field [0001] The invention belongs to the field of video image processing, in particular to an airborne image derotation and electronic image stabilization method based on the combination of partition matching and affine model. Background technique [0002] Carriers such as airplanes, cars, or ships have attitudes that change continuously during motion. The video imaging systems on these carriers vibrate relative to the captured scene, and the acquired optical image sequence has frame-to-frame jitter and rotation, resulting in image distortion. The information is unstable and fuzzy, resulting in a decrease in the visual quality of the image. This unstable optical image sequence greatly reduces the effectiveness of video applications such as image monitoring and image analysis, so stabilizing the optical image sequence captured on a moving carrier is a problem that must be solved. [0003] The research on electronic image stabilization technology abroad has a histo...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an image derotation and image stabilization method based on the combination of partition matching and affine model. The method solves the problem of rotation and motion when there is a rotation motion state by solving the rotation vector and global translation vector of the video image on the motion platform. Technical issues such as electronic image stabilization of video images

Images