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Research on terahertz image compound denoising based on non-local means
Author(s): Yue Wang; Qi Li
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Paper Abstract

A composite denoising method based on non-local means filter, Lucy-Richard algorithm and adaptive histogram equalization is proposed for terahertz reflection scanning images. Firstly, adaptive histogram equalization is used to adjust the brightness of the image based on Lucy-Richard restoration to improve the image definition, and finally the quality of the reconstructed image is further improved by using the non-local means algorithm based on bisquare weighting function. The experimental results of terahertz image denoising show that the proposed method can preserve the details of the image, effectively remove the background noise caused by the laser output fluctuation in the imaging system, and restore the blurred image, which has a good denoising effect on terahertz image.

Paper Details

Date Published: 17 May 2019
PDF: 7 pages
Proc. SPIE 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019), 111700N (17 May 2019); doi: 10.1117/12.2532390
Show Author Affiliations
Yue Wang, Harbin Institute of Technology (China)
Qi Li, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 11170:
14th National Conference on Laser Technology and Optoelectronics (LTO 2019)
Jianqiang Zhu; Weibiao Chen; Zhenxi Zhang; Minlin Zhong; Pu Wang; Jianrong Qiu, Editor(s)

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