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- Title
Video stabilization based on low‐rank constraint and trajectory optimization.
- Authors
Shang, Zhenhong; Chu, Zhishuang
- Abstract
Video stabilization plays a pivotal role in enhancing video quality by eliminating unwanted jitter in shaky videos. This paper introduces a novel video stabilization algorithm that leverages low‐rank constraint and trajectory optimization to effectively eliminate undesirable motion and generate stabilized videos. In the proposed algorithm, a low‐rank constraint regularization term is incorporated to enhance the smoothness of motion trajectories. Additionally, a predictive path smoothness term is integrated to ensure the consistency of motion across neighbouring frames. To address the problem of excessive cropping resulting from aggressive smoothing, a flexible local window strategy that emphasizes local motion relationships within the trajectories is introduced. The experimental results show that, compared to other excellent video stabilization algorithms, the proposed algorithm improves the stability metric by approximately 2.3%. Furthermore, in the stabilized videos generated by the algorithm, an approximate improvement of 2.18 dB in average image temporal fidelity and a 5.7% increase in average structural similarity between adjacent frames are achieved. The code that implements the proposed method is publicly accessible at https://github.com/CZS0319/VS_Low‐Rank_Constraint_Trajectory_Optimization.
- Subjects
TRAJECTORY optimization; IMAGE stabilization; VIDEO processing; MATHEMATICAL regularization
- Publication
IET Image Processing (Wiley-Blackwell), 2024, Vol 18, Issue 7, p1768
- ISSN
1751-9659
- Publication type
Article
- DOI
10.1049/ipr2.13062