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Proceedings Paper

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

Paper Details

Date Published: 20 December 2019
PDF: 6 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112091E (20 December 2019); doi: 10.1117/12.2544575
Show Author Affiliations
Yue Wang, Harbin Institute of Technology (China)
Qi Li, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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