The invention discloses a
video image stabilizing method based on sparseness and fidelity restraining. The
video image stabilizing method based on the sparseness and fidelity restraining comprises a first step of achieving segmentation for a video frame, wherein a certain number of coincident frames are arranged between segments; a second step of selecting a feature
point pair between current adjacent frames, a third step of achieving overall
outlier removing for the feature pair, a fourth step of fitting a two-dimensional
linear motion model through utilizing the obtained feature
point pair, a fifth step of estimating an original camera
route, a sixth step of confirming the objective function of a smooth
route and restraining conditions which restrain the changes of the original camera
route, a seventh step of obtaining a captured window
transformation matrix according to the solution to linear planning, an eighth step of removing the nonlinear effect in video, and a ninth step of transforming an original frame through utilizing the captured window
transformation matrix. The
video image stabilizing method based on the sparseness and fidelity restraining reduces video
jitter, and can reduce video content
distortion degree according to the requirement of a user at the same time. In addition, the video image stabilizing method based on the sparseness and fidelity restraining has a good effect on long video
image stabilization.