De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization method

Abstract

Terahertz imaging is one of the forefront topics of imaging technology today. Denoising process is the key for improving the resolution of the terahertz holographic reconstructed image. Based on the fact that the weighted nuclear norm minimization (WNNM) method preserves the details of the reconstructed image well and the non-local mean (NLM) algorithm performs better in the removal of background noise, this paper proposes a new method in which the NLM algorithm is used to improve the WNNM method. The experimental observation and quantitative analysis of the denoising results prove that the new method has better denoising effect for the terahertz holographic reconstructed image.

Keywords

terahertz digital holography / weighted nuclear norm minimization (WNNM) / non-local mean (NLM)

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 61377110).

RIGHTS & PERMISSIONS

2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature