| Issue |
E3S Web Conf.
Volume 206, 2020
2020 2nd International Conference on Geoscience and Environmental Chemistry (ICGEC 2020)
|
|
|---|---|---|
| Article Number | 03019 | |
| Number of page(s) | 5 | |
| Section | Geohydrology And Ocean Resources Exploration And Survey | |
| DOI | https://doi.org/10.1051/e3sconf/202020603019 | |
| Published online | 11 November 2020 | |
Side-scan Sonar Image De-noising Based on Bidimensional Empirical Mode Decomposition and Non-local Means
1 College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
2 The First Institute of Oceanography, MNR, Qingdao 266061, Shandong, China
* Corresponding author: 920587735@qq.com
In order to suppress the multiplicative specular noise in side-scan sonar images, a denoising method combining bidimensional empirical mode decomposition and non-local means algorithm is proposed. First, the sonar image is decomposed into intrinsic mode functions(IMF) and residual component, then the high frequency IMF is denoised by non-local mean filtering method, and finally the processed intrinsic mode functions and residual component are reconstructed to obtain the de-noised side-scan sonar image. The paper’s method is compared with the conventional filtering algorithm for experimental quantitative analysis. The results show that this method can suppress the sonar image noise and retain the detailed information of the image, which is beneficial to the later image processing.
© The Authors, published by EDP Sciences, 2020
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