An Electronic Image Stabilization Algorithm for Shipborne Cameras Based on Image Feature Points and Ship Movement Article Swipe

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Jian Zhuang , Chiming Wang , Chen Zhao , Man Wang ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.21203/rs.3.rs-5148580/v1

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 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. Additionally, 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%.

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Type: article
Landing Page: https://doi.org/10.21203/rs.3.rs-5148580/v1
PDF: https://www.researchsquare.com/article/rs-5148580/latest.pdf
OA Status: gold
References: 17
OpenAlex ID: https://openalex.org/W4416392012

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OpenAlex ID: https://openalex.org/W4416392012

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DOI: https://doi.org/10.21203/rs.3.rs-5148580/v1

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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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Publication year: 2025

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Publication date: 2025-11-20

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Authors: Jian Zhuang, Chiming Wang, Chen Zhao, Man Wang

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Landing page: https://doi.org/10.21203/rs.3.rs-5148580/v1

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PDF URL: https://www.researchsquare.com/article/rs-5148580/latest.pdf

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Cited by: 0

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