Abstract
Underwater acoustic images obtained from acoustic imaging equipment, either stand-alone or on-board autonomous underwater vehicles, consist of noise, mainly in multiplicative form. Enhancing and restoring acoustic images is a crucial step towards computer vision applications that require high-quality data for segmentation, detection, classification and recognition in underwater images. This paper presents a technical study of image enhancement and restoration techniques that are used to pre-process acoustic images and their application in underwater environment. The experimental results prove that VisuShrink, a wavelet transformation technique, and Unsharp Masking, a linear image processing technique, outperform the other methods at restoring and enhancing underwater acoustic images of marine debris. The efficiency of the proposed techniques is calculated and compared using Image Quality Assessment metric, the Peak Signal -to -Noise- Ratio (PSNR).
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Naik, V.V., Ansari, S. (2022). Underwater Acoustic Image Processing for Detection of Marine Debris. In: Sanyal, G., Travieso-González, C.M., Awasthi, S., Pinto, C.M.A., Purushothama, B.R. (eds) International Conference on Artificial Intelligence and Sustainable Engineering. Lecture Notes in Electrical Engineering, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-16-8542-2_44
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