Maksim Kulya, Nikolay V. Petrov, Anton Tsypkin, Karen Egiazarian, and Vladimir Katkovnik
https://www.osapublishing.org/oe/abstract.cfm?uri=oe-27-13-18456
We investigated data denoising in hyperspectral terahertz pulse time-domain holography. Using the block-matching algorithms adapted for spatio-temporal and spatio-spectral volumetric data we studied and optimized parameters of these algorithms to improve phase image reconstruction quality. We propose a sequential application of the two algorithms oriented on work in temporal and spectral domains. Experimental data demonstrate the improvement in the quality of the resultant time-domain images as well as phase images and object’s relief. The simulation results are proved by comparison with the experimental ones.
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