De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization and connected domains

Wenshu Ma; Qi Li; Yutong Wang; Jianye Lu

doi:10.1117/12.2500302

24 July 2018 De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization and connected domains

Wenshu Ma, Qi Li, Yutong Wang, Jianye Lu

Author Affiliations +

Proceedings Volume 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018); 108273U (2018) https://doi.org/10.1117/12.2500302
Event: Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 2018, Shanghai, China

Abstract

The terahertz Gabor inline holographic reconstructed images have the characteristics of large backgrounds and small targets, which are different from the standard images of conventional research. Thus, we carried out the connected area disposal method before the Weighted Nuclear Norm Minimization (WNNM) in this paper. Connected area disposal can split the image into multiple independent regions to denoise the large background. The WNNM denoising method can preserve the details of the targets well. The numerical analysis and experimental researches of the denoising results proved that the proposed method in this paper can get a better denoising effect than WNNM algorithm alone.

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Wenshu Ma, Qi Li, Yutong Wang, and Jianye Lu "De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization and connected domains", Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 108273U (24 July 2018); https://doi.org/10.1117/12.2500302

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