@inproceedings{eceb86aca8a149f78a5875703375a4fa,
title = "Application of threshold estimation for terahertz digital holography image denoising based on stationary wavelet transform",
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.",
keywords = "Digital holography, Stationary wavelet transform, Terahertz imaging, Threshold estimation",
author = "Cui, \{Shan Shan\} and Qi Li and Xue Ma",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; International Conference on Frontiers in International Conference on Frontiers in Terahertz Technology and Applications, and the International Symposium on Surface Topography and Optical Microscopy ; Conference date: 23-07-2015 Through 25-07-2015",
year = "2015",
doi = "10.1117/12.2211555",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Daren Lv and Lijun Wang and Libin Xiang and Petelin, \{Michael I.\} and Guangjin Zhang and Songlin Zhuang and Shenggang Liu",
booktitle = "Selected Papers of the Photoelectronic Technology Committee Conferences held June-July 2015",
address = "美国",
}