Anti-Noise 3D Sea Surface Modeling Method Based on CLAHE-NLMD Multimodal Enhancement and Wave Spectrum Co-Optimization

In the field of 3D modeling of ocean surfaces, there are issues with insufficient realism and accuracy. This paper experimentally analyzes various image processing techniques to address these challenges. To address issues such as noise interference and information loss in ocean surface image modeling, this paper proposes an authentic ocean surface modeling method based on Contrast-Limited Adaptive Histogram Equalization (CLAHE), Non-Local Means Denoising (NLMD), and wave spectrum theory. Experimental results demonstrate that the proposed method can preserve authentic wave characteristics while generating physically plausible models. Even in highly noisy environments, this model maintains high-quality reconstruction, exhibiting superior performance, realism, and strong application potential.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ccai65422.2025.11189605
Primary Topic
Underwater Acoustics Research
Type
article
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article

Anti-Noise 3D Sea Surface Modeling Method Based on CLAHE-NLMD Multimodal Enhancement and Wave Spectrum Co-Optimization

Zhenjia Chen, Yanlong Liu
Underwater Acoustics Research
article

Anti-Noise 3D Sea Surface Modeling Method Based on CLAHE-NLMD Multimodal Enhancement and Wave Spectrum Co-Optimization

Zhenjia Chen, Yanlong Liu
article en

Abstract

In the field of 3D modeling of ocean surfaces, there are issues with insufficient realism and accuracy. This paper experimentally analyzes various image processing techniques to address these challenges. To address issues such as noise interference and information loss in ocean surface image modeling, this paper proposes an authentic ocean surface modeling method based on Contrast-Limited Adaptive Histogram Equalization (CLAHE), Non-Local Means Denoising (NLMD), and wave spectrum theory. Experimental results demonstrate that the proposed method can preserve authentic wave characteristics while generating physically plausible models. Even in highly noisy environments, this model maintains high-quality reconstruction, exhibiting superior performance, realism, and strong application potential.

Hainan University (CN)
Openalex Percentile: Top 71%
Underwater Acoustics Research
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