摘要
图像序列的帧间运动不仅包含平移运动,而且旋转运动也是常见的。为了补偿这两种运动,可采用仿射变换模型。先把参考帧和当前帧分成若干个子块,利用灰度投影算法计算出局部运动矢量,然后使用能量最小化方法,由求出的有效局部运动矢量确定仿射变换模型参数。通过对当前帧进行仿射变换,即可实现对图像的平移和旋转的补偿。仿真和实验证明了该方法的可行性。
The movement between the frames of image sequences not only composes translation, but also rotation is a very common. In order to compensate two kinds of movement, the affine transformation is adopted. Firstly the reference frame and the current frame are divided into several subblocks respectively, and the local motion vectors have been estimated using gray projection algorithm. And then an energy minimization is also applied to calculate the coefficients of affine transform according to calculated valid local vectors. Through affine transform over the current frame, the motion compensation of translation and rotation can be realized. The simulation and experimental results demonstrate that this method is feasible.
出处
《光学技术》
CAS
CSCD
2003年第4期441-444,共4页
Optical Technique
基金
中国科学院青年创新基金"机载电子稳像技术研究"资助项目(Q01R07)
