Research on terahertz image compound denoising based on non-local means

Yue Wang; Qi Li

doi:10.1117/12.2532390

17 May 2019 Research on terahertz image compound denoising based on non-local means

Yue Wang, Qi Li

Proceedings Volume 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019); 111700N (2019) https://doi.org/10.1117/12.2532390
Event: Fourteenth National Conference on Laser Technology and Optoelectronics, 2019, Shanghai, China

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.

Citation Download Citation

Yue Wang and Qi Li "Research on terahertz image compound denoising based on non-local means", Proc. SPIE 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019), 111700N (17 May 2019); https://doi.org/10.1117/12.2532390

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