Research on terahertz image denoising using quadtree-based non-local means

Yue Wang; Qi Li

doi:10.1117/12.2544575

20 December 2019 Research on terahertz image denoising using quadtree-based non-local means

Yue Wang, Qi Li

Proceedings Volume 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019); 112091E (2019) https://doi.org/10.1117/12.2544575
Event: Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 2019, Xi'an, China

Abstract

In this paper, a quadtree-based non-local means image denoising method for terahertz images is used. Firstly, the noise image is decomposed by quadtree to obtain different size sub-blocks, which makes better use of the non-local selfsimilarity of the image. Then, the non-local means filter based on bisquare weighting function is used to denoise each sub-block to improve the quality of the reconstructed image. Finally, the sub-blocks are aggregated to get a complete denoised image. The experimental results of terahertz image denoising show that the method can preserve the details of the image, effectively remove the background noise caused by the imaging system, and has a good denoising effect on terahertz image.

Citation Download Citation

Yue Wang and Qi Li "Research on terahertz image denoising using quadtree-based non-local means", Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112091E (20 December 2019); https://doi.org/10.1117/12.2544575

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