Terahertz digital holography image denoising using stationary wavelet transform

Shan-Shan Cui; Qi Li; Guanghao Chen

doi:10.1117/12.2182877

13 April 2015 Terahertz digital holography image denoising using stationary wavelet transform

Shan-Shan Cui, Qi Li, Guanghao Chen

Proceedings Volume 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II; 952230 (2015) https://doi.org/10.1117/12.2182877
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China

Abstract

Terahertz (THz) holography is a frontier technology in terahertz imaging field. However, reconstructed images of holograms are inherently affected by speckle noise, on account of the coherent nature of light scattering. Stationary wavelet transform (SWT) is an effective tool in speckle noise removal. In this paper, two algorithms for despeckling SAR images are implemented to THz images based on SWT, which are threshold estimation and smoothing operation respectively. Denoised images are then quantitatively assessed by speckle index. Experimental results show that the stationary wavelet transform has superior denoising performance and image detail preservation to discrete wavelet transform. In terms of the threshold estimation, high levels of decomposing are needed for better denoising result. The smoothing operation combined with stationary wavelet transform manifests the optimal denoising effect at single decomposition level, with 5×5 average filtering.

Citation Download Citation

Shan-Shan Cui, Qi Li, and Guanghao Chen "Terahertz digital holography image denoising using stationary wavelet transform", Proc. SPIE 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II, 952230 (13 April 2015); https://doi.org/10.1117/12.2182877

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