A Curvelet-Transform-Based Image Fusion Method Incorporating Side-Scan Sonar Image Features

Current methods of fusing side-scan sonar images fail to tackle the issues of shadow removal, preservation of information from adjacent strip images, and maintenance of image clarity and contrast. To address these deficiencies, a novel curvelet-transform-based approach that integrates the complement...

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Bibliographic Details
Published in:Journal of marine science and engineering 2023-07, Vol.11 (7), p.1291
Main Authors: Zhao, Xinyang, Jin, Shaohua, Bian, Gang, Cui, Yang, Wang, Junsen, Zhou, Bo
Format: Article
Language:English
Subjects:
Algorithms
Clarity
Computer vision
curvelet transform
Decomposition
hierarchical fusion rules
Image contrast
image fusion
Methods
Shadows
Shipwrecks
Side scan sonar
Sonar
Sonar imagery
Strip
Transformations (mathematics)
Wavelet transforms
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Summary:Current methods of fusing side-scan sonar images fail to tackle the issues of shadow removal, preservation of information from adjacent strip images, and maintenance of image clarity and contrast. To address these deficiencies, a novel curvelet-transform-based approach that integrates the complementary attribute of details from side-scan sonar strip images is proposed. By capitalizing on the multiple scales and orientations of the curvelet transform and its intricate hierarchical nature, myriad fusion rules were applied at the corresponding frequency levels, enabling a more-tailored image fusion technique for side-scan sonar imagery. The experimental results validated the effectiveness of this method in preserving valuable information from side-scan sonar images, reducing the presence of shadows and ensuring both clarity and contrast in the fused images. By meeting the aforementioned challenges encountered in existing methodologies, this approach demonstrated great practical significance.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse11071291