Ms. Lijie Wang Profile

Lijie Wang

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Proceedings Article | 13 June 2024 Paper

Wavelet transform based polarised image fusion detection of underwater targets

Chenchen Kong, Jin Duan, Qiang Fu, Lijie Wang, Yong Zhu, Youfei Hao

Proceedings Volume 13180, 131800B (2024) https://doi.org/10.1117/12.3033713

KEYWORDS: Image fusion, Polarization, Wavelet transforms, Image quality, Submerged target detection, Polarization imaging, Target detection, Simulations, Silver, Image processing

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This study suggests a multi-scale polarization fusion method based on lifting wavelet transform to enhance the clarity and contrast of underwater polarization images, which are currently low contrast, of poor quality, and blurred texture features. In the experiment, underwater polarization imaging of several materials using a 532 nm blue-green laser was used, and intensity photographs taken from various angles were collected. The polarization degree and polarization Angle of the image are calculated, and the polarization combination image is generated according to the method of region energy maximization. The polarization combination image and light intensity image are decomposed into low frequency components reflecting contour information and high frequency components reflecting detail information at multiple scales. The regional energy as the weight coefficient and the fusion rules based on the combination of region variance are constructed and applied to the low frequency and high frequency components respectively. Experimental simulations demonstrate that this fusion method has some advantages over conventional image fusion techniques in terms of boosting image contrast and clarity. It has also established a strong base for resource discovery, bottom topography exploration, submarine detection, and other sectors.

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