An electronic image stabilization algorithm for shipborne cameras based on image feature points and ship movement.
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| Title: | An electronic image stabilization algorithm for shipborne cameras based on image feature points and ship movement. |
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| Authors: | Zhuang, Jiexuan1 (AUTHOR), Wang, Chiming1 (AUTHOR) algorithm_007@163.com, Chen, Zhonghao1 (AUTHOR), Li, Yanan1 (AUTHOR), Wu, Rongjiong1 (AUTHOR), Zhu, Shunzhi1 (AUTHOR), Guan, Liangqing2 (AUTHOR), Liu, Li1 (AUTHOR), Man, Wang1 (AUTHOR) |
| Source: | EURASIP Journal on Image & Video Processing. 4/27/2026, Vol. 2026 Issue 1, p1-17. 17p. |
| Subjects: | Image stabilization, Motion estimation (Signal processing), Cameras, Electronic navigation |
| Abstract: | Electronic image stabilization technology for shipborne cameras enhances auxiliary navigation by providing critical status information and supporting decision-making in intelligent navigation systems. We have developed an optimized framework based on the image feature points to improve the stability and operational efficiency of these cameras. This method facilitates rapid processing while maintaining high image stability through the integration of feature recognition, motion estimation, and image smoothing. Our approach significantly outperforms traditional methods in efficiency, reliability, and flexibility. In addition, we introduced a weighted smoothing algorithm for handling motion trajectories and analyzed the impact of the ship's movement on the camera. Using a transformation compensation matrix, our stabilization experiments demonstrated a reduction in mean square error by 44–64% and an increase in peak signal-to-noise ratio by 9–17%. [ABSTRACT FROM AUTHOR] |
| Copyright of EURASIP Journal on Image & Video Processing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Electronic image stabilization technology for shipborne cameras enhances auxiliary navigation by providing critical status information and supporting decision-making in intelligent navigation systems. We have developed an optimized framework based on the image feature points to improve the stability and operational efficiency of these cameras. This method facilitates rapid processing while maintaining high image stability through the integration of feature recognition, motion estimation, and image smoothing. Our approach significantly outperforms traditional methods in efficiency, reliability, and flexibility. In addition, we introduced a weighted smoothing algorithm for handling motion trajectories and analyzed the impact of the ship's movement on the camera. Using a transformation compensation matrix, our stabilization experiments demonstrated a reduction in mean square error by 44–64% and an increase in peak signal-to-noise ratio by 9–17%. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 16875176 |
| DOI: | 10.1186/s13640-026-00694-7 |
