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Proceedings Paper

Application of threshold estimation for terahertz digital holography image denoising based on stationary wavelet transform
Author(s): Shan-shan Cui; Qi Li; Xue Ma
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Paper Abstract

Terahertz digital holography imaging technology is one of the hot topics in imaging domain, and it has drawn more and more public attention. Owing to the redundancy and translation invariance of the stationary wavelet transform, it has significant application in image denoising, and the threshold selection has a great influence on denoising. The denoising researches based on stationary wavelet transform are performed on the real terahertz image, with Bayesian estimation and Birge-Massart strategy applied to evaluate the threshold. The experimental results reveal that, Bayesian estimation combined with homomorphic stationary wavelet transform manifests the optimal denoising effect at 3 decomposition levels, which improves the signal-to-noise and preserves the image detail information simultaneously.

Paper Details

Date Published: 5 November 2015
PDF: 6 pages
Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97953C (5 November 2015); doi: 10.1117/12.2211555
Show Author Affiliations
Shan-shan Cui, Harbin Institute of Technology (China)
Qi Li, Harbin Institute of Technology (China)
Xue Ma, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 9795:
Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015
Shenggang Liu; Songlin Zhuang; Michael I. Petelin; Libin Xiang, Editor(s)

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