Hyperspectral data denoising for terahertz pulse time-domain holography
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||21|
|Publication status||Published - 2019|
|Publication type||A1 Journal article-refereed|
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.